internal audit hyderabad associate data analytics reporting

Goldman Sachs

<div><div><div><p><b>WHAT WE DO</b></p>
<p>Internal Audit&rsquo;s mission is to independently assess the firm&rsquo;s internal control structure, including governance processes and controls, risk management, capital and anti-financial crime frameworks. Internal Audit communicates on the effectiveness of governance, risk management and controls, raises awareness of control risk, assesses control culture and conduct risk, and monitors management&rsquo;s implementation of control measures. Data Strategy and Analytics (DSA) partners with audit teams to translate data needs into durable, reusable capabilities. The team designs data products, engineering patterns and AI-ready data foundations that improve the efficiency, consistency and insight of audit work.About the Role</p>
<p>We are looking for a hands‑on <b>Full Stack</b> <b>Data Analyst</b> to join our Internal Audit Data Analytics team supporting the Internal Audit Division. In this role you will design, build, and ship analytical applications end‑to‑end &mdash; from data models and Python services through to modern React front‑ends &mdash; that directly enable audit teams to work smarter and make better‑informed, data‑driven decisions.</p>
<p>This is a high‑impact, high‑visibility role for an engineer who enjoys owning features from concept to production, working in a fast‑paced Agile environment</p>
<p></p><p><b>What You'll Do</b></p>
<ul><li>Design, develop, test, and maintain <b>Python-based</b> applications, services, and automation that power analytical and audit workflows.</li>
<li>Build and expose well-documented, secure <b>RESTful APIs</b> (Flask or similar frameworks) that serve data to internal applications and downstream consumers.</li>
<li>Develop responsive, intuitive user interfaces using <b>React and JavaScript</b>, translating business requirements and wireframes into production-grade components.</li>
<li>Design and refine <b>data models</b> &mdash; logical and physical &mdash; and write efficient <b>SQL</b> to support reporting, analytics, and application needs.</li>
<li>Manage source control, code reviews, and automated build/test/deploy workflows in <b>GitLab</b>, contributing to and improving <b>CI/CD pipelines</b>.</li>
<li>Package and deploy applications to containerized environments, working with the platform team to promote code across environments reliably and repeatably.</li>
<li>Champion engineering quality through <b>unit tests, integration tests, and Test-Driven Development (TDD)</b>.</li>
<li>Partner closely with product owners, and audit stakeholders in a <b>global, distributed Agile/Scrum</b> setting to deliver iteratively.</li>
<li>Proactively identify opportunities to improve performance, reliability, maintainability, and developer experience.</li><br>
</ul><p></p><p><b>Required Qualifications</b></p>
AreaRequirement
<div></div><div><br>
<div><div><div><b>Education</b></div> <div>Bachelor's degree (or higher) in Computer Science, Engineering, or a related technical discipline</div>
</div><br>
<div><div><b>Overall Experience</b></div> <div>3&ndash;5 years of professional <b>software engineer</b> experience</div>
</div><br>
<div><div><b>Python</b></div>
<div><p>3&ndash;5 years of <b>strong, hands-on</b> Python development experience building production applications</p>
<p>and exposure to data analytics tooling <b>(pandas, NumPy</b>)</p><br>
</div></div><br>
<div><div><b>Front-End</b></div> <div>1&ndash;2 years of hands-on experience building UIs with <b>React</b> and modern JavaScript</div>
</div><br>
<div><div><b>SQL &amp; Data Modelling</b></div>
<div><p>Solid SQL skills and a <b>good understanding of data modelling concepts</b> &mdash; normalization,</p>
<p>relational/dimensional design, schema evolution, and query performance</p><br>
</div></div><br>
<div><div><b>Version Control &amp; DevOps</b></div>
<div><p>Hands-on experience with <b>GitLab</b> and strong grasp of core Git concepts (branching strategies,</p>
<p>merge requests, rebasing, conflict resolution) plus practical exposure to <b>CI/CD pipelines</b></p><br>
</div></div><br>
<div><div><b>Testing</b></div>
<div><p>Demonstrated experience implementing unit tests, integration tests, and applying</p>
<p><b>Test-Driven Development</b></p><br>
</div></div><br>
<div><div><b>Ways of Working</b></div> <div>Proven track record operating in a fast-paced <b>Agile/Scrum</b> setup with a global/remote team</div>
</div><br>
</div></div><p></p><p><b>Preferred / Good to Have</b></p>
<ul><li>Experience designing and developing <b>Flask-based REST APIs</b> (or FastAPI/Django REST Framework).</li>
<li><b>Working knowledge of deploying code to a Kubernetes cluster</b> &mdash; building container images, writing/maintaining deployment manifests or Helm charts, and troubleshooting pods, services, and rollouts.</li>
<li>Experience with containerization using <b>Docker</b> and automating deployments through CI/CD pipelines.</li>
<li>Familiarity with API design best practices &mdash; versioning, authentication/authorization, pagination, error handling, and OpenAPI/Swagger documentation.</li>
<li>Understanding of cloud platforms such as Snowflake.</li>
</ul><p>Prior experience in financial services, risk, or Internal Audit domains.</p><br>
<p></p><p>At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm with offices around the world. We believe who you are makes you better at what you do. We are committed to fostering and advancing diversity and inclusion in our workplace and to providing opportunities for professional and personal growth. We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Position-description note: This document describes the duties most frequently performed at this position level and is not intended to be a complete list of assigned duties. The role is performed within a professional office environment. Applicable health and safety policies are available to workers upon request.</p>
</div></div><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEAssociate
</div></div><div></div><div><div>OFFICE LOCATION(S)Hyderabad
</div></div><div></div><div><div>JOB FUNCTIONData Analytics &amp; Reporting
</div></div><div></div><div><div>DIVISIONInternal Audit</div></div></div></div><p></p>

Internal Audit-Hyderabad-Associate-Data Analytics & Reporting

<div><div><div><p><b>Internal Audit | Data Strategy and Analytics | Hyderabad</b></p>
<p>Lead the architecture and delivery of scalable data capabilities that strengthen how Internal Audit sources, governs and uses data, while remaining hands-on in engineering and developing the team.</p>
 <p>WHAT WE DO</p>
 <p>Internal Audit&rsquo;s mission is to independently assess the firm&rsquo;s internal control structure, including governance processes and controls, risk management, capital and anti-financial crime frameworks. Internal Audit communicates on the effectiveness of governance, risk management and controls, raises awareness of control risk, assesses control culture and conduct risk, and monitors management&rsquo;s implementation of control measures.</p>
<p>Data Strategy and Analytics (DSA) partners with audit teams to translate data needs into durable, reusable capabilities. The team designs data products, engineering patterns and AI-ready data foundations that improve the efficiency, consistency and insight of audit work.</p>
<p>YOUR IMPACT</p>
<p>As a Vice President in DSA, you will combine architecture, hands-on engineering, delivery leadership and mentoring. You will shape scalable data solutions for the third line of defence, set engineering standards and guide teams from problem definition through production delivery. You will work with auditors, engineers and data owners to ensure solutions are reliable, controlled and aligned to Internal Audit priorities.</p>
<p>RESPONSIBILITIES</p>
 <ul><li>Own solution architecture and technical delivery for scalable data platforms, pipelines and curated data products supporting Internal Audit use cases.</li>
 <li>Translate audit and control objectives into pragmatic data designs, balancing delivery speed, reusability, performance, security and maintainability.</li>
 <li>Design and review data models for operational and analytical workloads, including dimensional models, slowly changing dimensions, lakehouse and data-lake patterns.</li>
 <li>Remain hands-on with Python and SQL, providing technical direction for implementations using Pandas, Polars and PySpark as appropriate to scale and workload</li>
 <li>Establish engineering standards for ETL/ELT design, testing, observability, data quality, lineage, documentation, version control and controlled production deployment.</li>
 <li>Guide the use of Snowflake and relational platforms such as DB2 and PostgreSQL, with clear expectations for workload design, performance and integration.</li>
 <li>Lead the design of AI-ready data products and semantic layers that make governed data easier to discover, interpret and use in analytical and AI-enabled solutions.</li>
 <li>Drive delivery across multiple stakeholders, communicate technical trade-offs clearly, manage dependencies and escalate material risks promptly.</li>
 <li>Mentor engineers, strengthen design and code-review practices, and contribute to hiring, capability development and an inclusive engineering culture.</li>
<li>Build productive relationships with audit teams, technology partners, data owners and governance functions across the firm.</li><br>
</ul><p><br>
BASIC QUALIFICATIONS
</p><ul><li>7+ years of relevant data engineering or software engineering experience, including technical leadership of complex data solutions.</li>
 <li>Bachelor&rsquo;s degree or equivalent practical experience in computer science, engineering or a related quantitative discipline. A master&rsquo;s degree is welcome.</li>
<li>Advanced, hands-on proficiency in Python, including Pandas, Polars and PySpark, and strong software-engineering practices.</li>
<li>Advanced SQL proficiency and strong understanding of OLTP databases, relational design and query performance.</li>
<li>Demonstrated expertise in data modelling, data warehousing, dimensional modelling and slowly changing dimensions.</li>
<li>Experience designing ETL/ELT solutions and scalable data architectures across data lake, lakehouse or cloud data warehouse patterns.</li>
 <li>Ability to lead architecture and delivery while explaining technical choices, risks and trade-offs to senior stakeholders.</li>
<li>Demonstrated ability to mentor engineers, raise technical standards and coordinate delivery across teams.</li>
<li>Strong written and verbal communication, sound judgement and the ability to manage multiple priorities</li>
</ul><p>PREFERRED QUALIFICATIONS</p>
<ul><li>Experience architecting solutions on Snowflake and integrating data from DB2, PostgreSQL or comparable enterprise platforms.</li>
 <li>Experience with Spark-based processing, orchestration frameworks, CI/CD, containers and cloud-native delivery patterns.</li>
<li>Experience designing governed semantic layers and AI-ready data products, including metadata, access controls and reusable definitions.</li>
Familiarity with data governance, privacy, security, retention, lineage and model-risk considerations relevant to enterprise data. Experience in financial services, audit, risk or controls is helpful but not required.<br>
<li>
<br>
</li></ul><p>WHAT SUCCESS LOOKS LIKE</p>
<div><ul><li>Data solutions are scalable, controlled, well-documented and reusable across audit teams.</li></ul>
<ul><li>Engineering decisions are transparent, risk-aware and supported by strong design and review practices.</li></ul>
<ul><li>The team develops stronger technical capability, while stakeholders receive clear, dependable delivery.</li></ul>
</div><p>ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm with offices around the world. We believe who you are makes you better at what you do. We are committed to fostering and advancing diversity and inclusion in our workplace and to providing opportunities for professional and personal growth. We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. about reasonable accommodations</p>
<p><i>Position-description note: This document describes the duties most frequently performed at this position level and is not intended to be a complete list of assigned duties. The role is performed within a professional office environment. Applicable health and safety policies are available to workers upon request</i></p>
</div></div><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEVice President
</div></div><div></div><div><div>OFFICE LOCATION(S)Hyderabad
</div></div><div></div><div><div>JOB FUNCTIONData Analytics &amp; Reporting
</div></div><div></div><div><div>DIVISIONInternal Audit</div></div></div></div><p></p>

Internal Audit-Hyderabad-Vice President-Data Analytics & Reporting

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p><b>Internal Audit (IA)</b> is an independent function at JPMorganChase that aims to enhance and protect the firm by providing risk-based and objective assurance, advice, and insight. We work with every Line of Business and Corporate Function to assess the internal control processes that drive our global business, identifying areas of improvement to help safeguard the firm.
</p><p><b>IA Product Management </b>is part of Audit, Strategy, Innovation and Practices (ASIP) and is a single, accountable organization that brings collective expertise together to own the end-to-end lifecycle of Internal Audit products and deliver consistent, high-quality audit outcomes. In partnership with Audit Tech and stakeholders, it governs delivery, manages demand and change, and monitors product health (availability, performance, defects) to ensure reliable tools and a seamless user experience and also champions IA's data-first strategy by improving data quality, enrichment, and usability to enable analytics, data-driven audit decisions, and greater business impact.</p><p>
As a <b>Senior Customer Success Associate</b> within <b>IA Product Management</b>, you will develop and maintain strong relationships with internal customers (audit teams and stakeholders). You will also elevate the customer journey by translating product insights into trusted partnerships and enabling Internal Audit teams to realize value from ASIP products through proactive engagement, onboarding, and continuous improvement. You'll support adoption and retention of key audit products by running enablement, gathering feedback, tracking success metrics, and partnering with Product and Technology teams to improve user experience and outcomes. This role is based in Mumbai and requires strong stakeholder management, structured execution, and comfort operating in a matrixed organization.</p><p><b>
Job responsibilities:</b></p><ul><li>
Own end-to-end product support ticket intake, triage, and execution through closure: capture accurate topic/module details; resolve user-education/standard requests where possible; route potential defects to product owners; ensure required tagging (team + category); and close the loop with users on outcomes and timelines.</li><li>
Monitor and improve service performance by tracking ticket volumes, aging (e.g., average days open), and resolution patterns; identify bottlenecks and drive operational improvements.</li><li>
Translate feedback into actionable prioritization inputs by consolidating feedback into clear problem statements, tracking requests through status, and supporting feature request governance and follow-through.</li><li>
Support AI/ML lifecycle governance and model monitoring by coordinating required intake/approvals, maintaining documentation and control evidence, partnering with model owners on periodic performance/health reviews (e.g., drift, data quality, stability), and tracking remediation actions through to closure.</li><li>
Provide operational communications across incidents, service updates, and operational changes; tailor messaging to user groups and ensure consistent updates through resolution.</li><li>
Support access management operations across onboarding/offboarding: monitor provisioning/deprovisioning performance, handle exceptions, and ensure controls are executed consistently; perform BAU access activities to free leadership capacity for strategic work.</li><li>
Monitor business and technical data quality by reviewing exceptions based on thresholds (e.g., completeness, accuracy, timeliness), including Business Data Quality (BDQ) / Technical Data Quality (TDQ) monitoring as scope grows; analyze exceptions, follow up, and translate trends/root causes with Technology and data owners into prioritized remediation.</li><li>
End-to-end data management: establish governance policies, drive data quality (profiling, controls, issue/RCA, KPIs), manage metadata (glossary, lineage, catalog adoption), and enforce data lifecycle practices (classification, retention, archival, disposal).</li><li>
Support audit support tool monitoring in APAC to enable a follow-the-sun support model, including monitoring, exception triage/follow-ups, and timely user support outside US hours.</li><li>
Coordinate across partners (Product, Technology, Controls, Audit Teams) to drive follow-ups, manage escalations, and close the loop with customers.</li><li>
Support product-led initiatives as needed by driving execution tracking, managing dependencies, and coordinating stakeholders through closure.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills:</b></p><ul><li><b>
7+ years</b> of experience (or equivalent expertise) in customer success, business management, chief of staff, client services, product operations, program coordination, or stakeholder-facing roles within product/technology environments.</li><li>
Demonstrated ability to influence adoption through enablement, relationship-building, and structured follow-through.</li><li>
Excellent communication and interpersonal skills, with the ability to engage stakeholders across levels and functions.</li><li>
Proven ability to learn new technologies quickly and enable others through demos, documentation, and training.</li><li>
SQL proficiency - write queries to inspect, analyze, and validate data across database tables.</li><li>
Data Profiling - ability to perform data profiling, anomalies in the data and then root cause analysis on the Data Quality Issues.
</li><li>Define and execute the operating model for business glossary, metadata standards, lineage coverage, data quality controls, and governance.
</li><li>Strong organizational skills with the ability to manage multiple priorities and deliver consistently in a fast-paced, matrixed environment.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills:</b></p><ul><li>
Familiarity with risk, controls, audit, governance, or other regulated/controlled environments.</li><li>
Experience creating lightweight reporting and insights; summarizing themes into executive-ready updates.</li><li>
Experience partnering with Product/Technology teams on incident triage, root-cause themes, and continuous improvement follow-ups.</li><li>
Deeper data modeling/architecture knowledge, hands-on experience with data catalog/lineage/DQ/MDM tools, BI/analytics fluency, Agile/product delivery, and change-management.</li><li>
Sound knowledge of Alteryx skilled in building automated workflows to clean, blend, and analyze complex data for rapid business insights.</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<div><p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
<br>
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p><br>
</div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Senior Customer Success Associate — Internal Audit Product Management

CHRYSELYS

<div><div><b>We&rsquo;re Hiring: Senior Associate &ndash; Insights &amp; Analytics (Data Science) at Chryselys</b></div><div><b>
Location:</b> Hyderabad</div><div>
<b>Department:</b> Insights &amp; Analytics</div><div>
<b>Job Type:</b> Full-time</div><div>
<b>Reports To:</b> Manager</div><div></div><div><b><br>
About Us:</b></div><div><b>
Chryselys</b> is a Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.</div><div>
We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.</div><div><b>
Who we are:</b></div><div><b>
People -</b> Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.</div><div><b>
Quality -</b> Our goal is to deliver the value of a big five consulting company without the big five cost.</div><div><b>
Technology</b> - Our solutions are Business centric built on cloud native technologies.</div><div></div><div><b><br>
Role Overview:</b></div><div>
We are looking for a Data Science specialist who can <b>hit the ground running immediately</b> in commercial measurement and causal analytics. The ideal candidate must go beyond standard machine learning modeling to demonstrate expertise in experimental design, statistical measurement, and observational causal inference.</div><div>
<b>Key Technical Requirements &amp; Skills</b></div><ul><li><ul><li><b>
Core Focus:</b> Causal Analytics, Lift Measurement, and Impact Attribution (rather than pure Predictive Machine Learning).</li><li><b>
Experimental Design &amp; A/B Testing:</b></li><li>
Statistical power calculations, sample size determination, and Minimum Detectable Effect (MDE).</li><li>
In-depth understanding of A/B test mechanics and variance reduction techniques.</li><li><b>
Quasi-Experimental &amp; Observational Causal Inference:</b></li><li>
Difference-in-Differences (DiD)</li><li>
Synthetic Controls</li><li>
Propensity Score Matching (PSM)</li><li>
Regression Discontinuity Designs (RDD)</li><li><b>
Uplift &amp; Behavioral Attribution:</b></li><li>
Demonstrated experience proving that a specific model, campaign, or feature drove a true incrementality/change in user or customer behavior.</li><li>
Hands-on experience with uplift modeling techniques.</li><li><b>
Technical Stack:</b></li><li>
Strong proficiency in Python, specifically statistical packages such as statsmodels, scipy.stats, CausalPy, or DoWhy</li></ul></li></ul><div><b>
What You Bring:</b></div><ul><li><ul><li><b>
Education:</b> Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.</li><li><b>
Experience:</b> 2-5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.</li><li><b>
Skills:</b>
<ul><li>Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.</li><li>
Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.</li><li>
Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.</li><li>
Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.</li><li>
Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.</li><li>
Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.</li><li>
A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.</li></ul></li></ul></li></ul><div></div><div><b><br>
How to Apply:</b></div><div>
Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career</div><div>
Please include your resume and a cover letter detailing why you&rsquo;re the perfect fit for this role.</div><div></div><div><b><br>
Equal Employment Opportunity:</b></div><div>
Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div><div><b>
Connect with Us:</b></div><div>
Follow us for updates and more opportunities: https://linkedin.com/company/chryselys/mycompany</div><div><b>
Discover more about our team and culture:</b> http://chryselys.com</div></div><div></div>

Senior Associate - I&A (Data Science)

Navitas Business Consulting

<div><h2 class="jobSectionHeader"><b>Databricks Engineer</b><br>
<b>Job ID#: 26-2292</b><br>
<b>Location: Hyderabad/Vijayawada- India</b></h2><h2 class="jobSectionHeader"><b>
Who We Are</b><b>:</b><br>
<b>Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we&rsquo;ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.</b><br>
<br>
<b>What We Do</b><b>:</b><br>
<b>At our very core, we&rsquo;re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.</b></h2><br>
<b>
Overview:</b><br>
We are seeking a Databricks Engineer to design, build, and operate a Data &amp; AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.<br>
<br>
You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation.<p></p><b>
Responsibilities:</b><br>
1. <b>Data &amp; AI Platform Engineering (Databricks-Centric):</b><ul><li>
Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.</li><li>
Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.</li><li>
Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.</li><li>
Apply schema evolution and data versioning to support agile data development.</li></ul><b>
2. Platform Integration &amp; Data Ingestion:</b><ul><li>
Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.</li><li>
Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.</li><li>
Design standardized data ingestion processes with automated error handling, retries, and alerting.</li></ul><b>
3. Data Quality, Monitoring, and Governance:</b><ul><li>
Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.</li><li>
Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.</li><li>
Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.</li></ul><b>
4. Security, Privacy, and Compliance:</b><ul><li>
Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.</li><li>
Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).</li><li>
Work with security teams to audit and certify compliance controls.</li></ul><b>
5. AI/ML-Ready Data Foundation:</b><ul><li>
Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.</li><li>
Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.</li><li>
Collaborate with AI/ML teams to create reusable feature stores and training pipelines.</li></ul><b>
6. Cloud Data Architecture and Storage:</b><ul><li>
Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.</li><li>
Build data marts and warehousing solutions using platforms like Databricks.</li><li>
Optimize data storage and access patterns for performance and cost-efficiency.</li></ul><b>
7. Documentation &amp; Enablement:</b><ul><li>
Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.</li><li>
Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.</li><li>
Conduct code reviews and promote reusable patterns and frameworks across teams.</li></ul><b>
8. Reporting and Accountability:</b><ul><li>
Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.</li><li>
Track deliverables against roadmap milestones and communicate risks or dependencies.</li></ul><p></p><b>
Required Qualifications:</b><ul><li>
Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.</li><li>
Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.</li><li>
Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.</li><li>
Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.</li><li>
Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.</li><li>
Familiarity with data governance, lineage tracking, and metadata management tools.</li></ul><p></p><b>
Preferred Qualifications:</b><ul><li>
Experience with Databricks Unity Catalog for metadata management and access control.</li><li>
Experience deploying ML models at scale using MLFlow or similar MLOps tools.</li><li>
Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.</li><li>
Knowledge of data warehouse design and star/snowflake schema modeling.</li></ul><p><i><br>
The pay range provided is a good-faith estimate and represents the range the company reasonably expects to pay for this position at the time of posting. Individual compensation may vary based on skills, experience, education, certifications, geographic location, and business needs.</i></p>
<p><i>Equal Employer/Veterans/Disabled</i></p>
<p><i>Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.
</i></p><p><i>Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.</i></p><p>
</p><p>i76TWsEXyE</p></div>

26-2292: Databricks Engineer- India, Hyderabad

Emirates Investment Authority

<p></p><div><ul><li>The Manager &ndash; Performance &amp; Attribution Reporting is responsible for managing the day-to-day delivery of investment performance measurement, attribution reporting, and the portfolio analytics framework across EIA's full investment portfolio.</li><li>The role ensures accurate, timely, and transparent performance reporting across all asset classes and investment portfolios, supporting investment decision-making, portfolio oversight, and governance.</li><li>Operating within a multi-asset, sovereign wealth fund environment, they are responsible for implementing the performance measurement framework, maintaining data integrity, supervising operational reporting activities, and driving continuous improvements in reporting processes, and analytical outputs.</li><li>Overall, the Manager plays a key, leading role in executing the strategic responsibilities of the function.</li></ul><p>
Core Responsibilities</p><p>
1. Performance Measurement &amp; Attribution</p><ul><li>Manage the end-to-end investment performance measurement process across all investment portfolios and asset classes, and all the aggregations of those portfolios.</li><li>Ensure accurate calculation and validation of portfolio returns aligned to approved methodologies.</li><li>Produce and review performance contribution and attribution analyses, including but not limited to:</li></ul><p>
o Asset allocation &amp; Security selection</p><p>
o Factor attribution</p><p>
o Risk-adjusted performance analysis</p><ul><li>Validate benchmark calculations and comparative performance reporting and analysis.</li><li>Ensure consistency between internal and external performance analysis where applicable</li></ul><p>
2. Portfolio Analytics, Reporting and Executive Information</p><ul><li>Analyse portfolio performance against investment objectives, benchmarks, strategic asset allocation, and other relevant asset class and industry approaches.</li><li>Identify key drivers of portfolio returns and investigate and understand performance variances.</li><li>Produce investment performance analysis and reports for stakeholders including:</li></ul><p>
o Executive Management</p><p>
o Committees</p><p>
o Asset class Teams / Portfolio Managers</p><p>
o Chief Financial Officer</p><ul><li>Prepare analytical insights and commentary supporting investment reviews and governance discussions ensuring the information is presented to stakeholders in clear and informative ways.</li><li>Support ad hoc portfolio performance analysis.</li></ul><p>
3. Performance Data Management, Documentation &amp; Controls</p><ul><li>Ensure the accuracy, integrity, and reconciliation of performance data across different platforms and systems.</li><li>Perform data validation and exception management to maintain high-quality reporting outputs.</li><li>Maintain documentation of policies and controls governing performance measurement and attribution methodologies and standards.</li><li>Support internal and external audit requirements through complete documentation and evidence of methodologies and controls.</li></ul><p>
4. Systems - Automation &amp; Continuous Improvement &amp; Digital Transformation</p><ul><li>Oversee day-to-day operation of performance reporting platforms and analytical tools in collaboration with any related parties.</li><li>Support implementation of system and methodology enhancements, and reporting automation initiatives.</li><li>Collaborate with IT and Data teams to improve integration between platforms and systems.</li><li>Identify opportunities to improve reporting efficiency and accuracy, reduce manual intervention, enhance data quality.</li><li>Develop and implement enhanced analytical visualization, with support of other IT and Data teams where necessary.</li><li>Develop and support the usage and adoption of AI-enabled analytical and reporting tools.</li></ul><p>
5. Governance &amp; Stakeholder Management</p><ul><li>Ensure compliance with approved performance and analytical reporting methodologies, governance standards, and internal controls and policies. Conduct periodic review of such methodologies and standards.</li><li>Coordinate with Investment, Risk, Operations and other relevant teams to resolve performance and reporting issues and data discrepancies.</li><li>Liaise with any 3rd party service providers and entities to ensure data accuracy and service quality.</li><li>Support governance forums through timely, accurate performance and attribution reporting.</li></ul><b><br>
Requirements</b><p></p><ul><li><br>
Bachelor&rsquo;s degree in finance, Accounting, Economics, Mathematics, Statistics, or a related discipline.</li><li>CIPM, CFA Charter holder or equivalent professional qualification is highly desirable.</li></ul><p>
Experience Requirements</p><ul><li>10&ndash;12 years of experience in investment performance measurement, attribution reporting, portfolio analytics, or investment reporting.</li><li>Minimum 3 years leading or supervising performance reporting teams.</li><li>Experience within a sovereign wealth fund, asset owner, asset management firm, pension fund, or institutional investment environment is strongly preferred.</li><li>Proven experience working with multi-asset portfolios, benchmark methodologies, and institutional investment performance reporting.</li><li>Experience implementing analytical reporting enhancements, automation initiatives, or performance systems development is required.</li></ul><p>
Technical Expertise / Skills / Knowledge</p><ul><li>Strong knowledge of investment performance measurement and contribution/attribution methodologies across Public and Private assets within an overall multi-asset portfolio.</li><li>Strong understanding of accounting, valuation, and investment data and flows.</li><li>Deep experience within the areas of portfolio analytics, benchmark construction, and performance reporting.</li><li>Familiarity with performance measurement systems (e.g., Solovis, SimCorp, BNY Eagle, Bloomberg PORT, FactSet, MSCI Barra, or equivalent).</li><li>Advanced analytical, reporting, commentary and presentation skills, specifically with reporting and data visualization tools e.g. Power BI.</li><li>Ability to interpret complex investment information and communicate insights clearly to senior stakeholders both in spoken and written form.</li></ul></div>

Manager Performance & Attribution Reporting

Wells Fargo

<div><p><b>About this role:</b></p><p>
Wells Fargo is seeking a Senior Lead Analytics Consultant to lead BOS&rsquo;s AI-first Front Line Monitoring transformation and drive enterprise adoption of Agentic AI, LLMs, MCP-enabled architectures, advanced Python analytics, and cloud-based monitoring platforms.</p><p>
This role will own the strategy, architecture, and execution of key modernization initiatives, including platform transformation, qualification management, SAS-to-Python migration, GCP adoption, workflow automation, and AI-powered monitoring solutions. The individual will lead the development of scalable capabilities that improve risk signal detection, automate complex monitoring activities, and enhance operational efficiency across BOS.</p><p>
As a senior leader, the role will define enterprise standards for Agentic AI, AI engineering, governance, and analytics architecture, while influencing technology roadmaps and partnering with senior business, risk, compliance, and technology leaders to deliver strategic outcomes.</p><p>
Core expertise required in Python, Agentic AI, LLMs, LLM APIs, MCP, analytics architecture, platform modernization, cloud technologies, and large-scale transformation leadership.</p><p>
This role is critical to delivering BOS&rsquo;s AI modernization strategy, advancing platform transformation, and enabling a scalable, AI-driven Front Line Monitoring ecosystem focused on Risk Clarity, Operational Excellence, and sustainable risk management outcomes.</p><p><b><br>
In this role, you will:</b></p><ul><li><p>
Act as an advisor to senior leadership to develop or influence analytical strategies for highly complex business and technical needs</p></li><li><p>
Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques and advanced data from multiple sources across the enterprise</p></li><li><p>
Deliver solutions that are long-term, large-scale, and require vision, innovation, and coordination of highly complex activities</p></li><li><p>
Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions that align to the enterprise</p></li><li><p>
Ensure adherence to compliance and legal regulations and policies on all projects managed</p></li><li><p>
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership</p></li></ul><p><b><br>
Required Qualifications:</b></p><ul><li><p>
7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</p></li></ul><p><b><br>
Desired Qualifications:</b></p><ul><li><p>
7+ years of experience in Analytics, AI/ML, Data Engineering, Risk Analytics, or Enterprise Transformation, including leadership of strategic modernization initiatives.</p></li><li><p>
Expert-level Python expertise for AI development, analytics, automation, anomaly detection, and scalable monitoring platforms.</p></li><li><p>
Deep experience with Agentic AI, LLMs, LLM APIs, MCP-enabled architectures, Prompt Engineering, and RAG frameworks.</p></li><li><p>
Proven ability to architect and scale enterprise AI platforms, multi-agent solutions, and AI-powered monitoring capabilities.</p></li><li><p>
Experience leading platform modernization, SAS-to-Python migration, cloud transformation (GCP), and analytics automation programs.</p></li><li><p>
Strong expertise in NLP, unstructured data analytics, machine learning, anomaly detection, and risk signal detection.</p></li><li><p>
Advanced proficiency in SQL, data architecture, and large-scale data environments.</p></li><li><p>
Strong understanding of AI architecture, governance, explainability, risk controls, and production deployment standards.</p></li><li><p>
Experience developing and scaling custom agents, copilots, enterprise AI solutions, and automation platforms.</p></li><li><p>
Proven ability to define enterprise AI strategy, target-state architecture, technology roadmaps, and modernization priorities.</p></li><li><p>
Demonstrated success leading cross-functional programs and influencing senior business, risk, compliance, and technology stakeholders.</p></li><li><p>
Strong leadership experience building high-performing teams, mentoring senior consultants, and driving enterprise AI adoption.</p></li></ul><p></p><p><b>
Job Expectations:</b></p><ul><li><p>
Demonstrate ability to execute effectively in a matrixed organization, develop partnerships with many business and functional areas.</p></li><li><p>
Demonstrate ability to build and maintain strong credible relationships with key stakeholder groups including executive management, regulatory examiners and internal auditors.</p></li><li><p>
Candidate must be willing to work at Bangalore or Hyderabad</p></li><li><p>
Candidate must be willing to work on mid-shift (1:30 PM - 10:30 PM), Mon - Fri, weekend off</p></li><li><p>
Candidate must be willing to work onsite</p></li></ul><p></p><p><b>
Posting End Date:</b></p><p></p>
29 Oct 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p>
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Senior Lead Analytics Consultant

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