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data scientist insider risk advanced analytics

Fustis LLC

Need someone with recent Banking clients 
 
$65/h W-2 
 
Jersey City NJ 
 
LOCATION: Hybrid - Jersey City, NJ 
Experience Level: Senior (10+ Years) 
Cybersecurity - Insider Risk &amp; Advanced Analytics 
 
USC, GC 
 
DL &amp; LinkedIn needed (updated with photo) 
 
Summary: 
The Insider Risk team in partnership with the Information Security Data Operations team are working on a project to centralize IR data in the Cybersecurity Data Lakehouse (CyberDW). We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a human risk score for the Insider Risk program. This individual will be adept at ML, AI and best practices around the new tools in the marketplace. 
 
The Data Scientist / Data Modeler / Quantitative Analyst will play a critical role in advancing the Insider Risk programs detection, scoring, and decisioning capabilities. This role is responsible for designing, building, and continuously improving quantitative models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk across employees, contractors, vendors, and nonhuman identities. 
 
The role partners closely with Cyber, HR, Legal, Compliance, AntiFraud, and Enterprise Information Protection to transform complex enterprise data into defensible risk signals, transparent scoring models, and executive level metrics that support investigations, governance, and regulatory scrutiny. 
 
Required Skills: 
1) Bachelors or Masters degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or a related discipline. 
2) 5+ years of experience in data science, quantitative analysis, or risk modeling, preferably in financial services or regulated industries. 
3) Strong experience building statistical or machine learning models (regression, classification, anomaly detection, clustering). 
4) Proficiency in Python and/or R, with experience in SQL for largescale data analysis. 
5) Hands-on experience working with complex enterprise datasets and translating analytics into business decisions. 
6) Strong communication skills with the ability to explain complex analytical concepts to nontechnical stakeholders. 
7) Experience supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, or Threat Analytics programs. 
8) Familiarity with identity and access data, endpoint telemetry, DLP, email, or collaboration monitoring. 
9) Experience with model explain ability, governance, and validation in regulated environments. 
10) Knowledge of employee lifecycle risk, behavioral analytics, or humancentric risk modeling.

Data Scientist - Insider Risk & Advanced Analytics

Ignite Insurance Systems

<div>We're looking for a Senior Data Scientist to join our team in Jersey City, NJ.</div>
 <div><ul><li>Under supervision, participates in the development and execution of analysis project plans for timely project completion. May contribute to project hypothesis and goal setting.
</li><li>Utilizes statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.
</li><li>Ensures statistical, computational, and algorithmic validity of results.
</li><li>Performs analyses of structured and unstructured data to solve multiple and complex business problems, utilizing advanced statistical, mathematical and machine learning technique.
</li><li>Ability to keep up to date with emerging methods and environments.
</li><li>Work with other technical teams and business units for R&amp;D development, and delivery of solution(s).
</li></ul>Provides required support for project delivery and implementation.
 
<ul><li>Creates clear and easy to understand documents for product support (technical).
</li><li>Presents analysis ideas, progress reports and results to internal managers, project managers.
</li><li>Collaborates with Lead or Principal Data Scientist to develop technical approaches and new or enhanced technical tools.
</li><li>Completes all responsibilities as outlined on annual Performance Plan.
</li><li>Completes all special projects and other duties as assigned.
</li><li>Must be able to perform duties with or without reasonable accommodation.</li></ul></div>
 <div><ul><li>Knowledge in and applied experience with statistical and machine learning.
</li><li>Skilled with feature engineering, model selection, and assessment methodologies, and familiarity with all stages of the data science pipeline.
</li><li>Logical, evidence-based problem solving and critical thinking skills.
</li><li>Applied, practical experience using statistical and machine learning computer languages (e.g. R, Python, SQL).
</li><li>Working familiarity with cloud computing environments.
</li><li>Graduate-level degree with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.
</li><li>Master's degree plus 24 months of experience.
</li></ul>Preferred qualifications:
<ul><li>Insurance experience, focusing on the personal lines, commercial lines, underwriting or related business content.
</li><li>Experience with any of the following considered a plus: creating unit tests in python, GitLab CI/CD pipelines, working with ETL pipelines. 
</li></ul>#LI-ZP1
#LI-Hybrid</div>
 <div>For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer, testaments to the value we place on workplace culture.
We&rsquo;re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
 Verisk Businesses
Underwriting Solutions &mdash; provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions &mdash; supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions &mdash; offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Specialty Business Solutions &mdash; provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Catastrophe and Risk Solutions &mdash; provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
Marketing Solutions &mdash; delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
Life Insurance Solutions &ndash; offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft &mdash; provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Verisk Employee Privacy Notice</div>

Senior Data Scientist for CLS Analytics

JPMorganChase

<div>JOB DESCRIPTION 
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Data Scientist Vice President within the Compliance, Conduct Operational Risk (CCOR) Data Analytics team, you will be responsible for devising and developing Proofs of Concept (POCs) and deployable models using AI/Gen AI/ ML techniques, algorithms and other statistical and numerical methods. You will need to be able to extract and work with large volumes of data (both structured and unstructured) from multiple sources, transforming it into an analysis-ready format to develop the data pipeline. Additionally, you are expected to independently formulate methodologies, and quantitative and analytical tasks, from business problems.
Job Responsibilities
<ul><li>Analyze complex/unstructured data to understand the business problem and use case</li><li>
Analyze business requirements, design, and develop appropriate methodology</li><li>
Develop deployable, scalable and effective models/ analytical methods as part of technology managed system or as a self-served application of a business user
</li><li>Work collaboratively and creatively with other data scientists, technology partners, risk professionals, model validation teams, etc.
</li><li>Prepare technical documentation of quantitative models for internal model risk and governance review
</li></ul>Required qualifications, capabilities, and skills
<ul><li>6+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other any quantitative discipline.</li><li>
Demonstrable theoretical and application knowledge of AL/ ML, Gen AI and Statistical Models</li><li>
Demonstrable hands-on experience with Transformer or other deep learning architectures in real applications</li><li>
Demonstrable hands-on experience with using or fine tuning multimodal LLM in real business applications with scale and performance</li><li>
Demonstrable hands-on experience and familiarity with any or all of the following packages, algorithms, and/or alternatives, including Graph Learning Packages : (NetworkX, Torch-Geometric, Graphframes, Graphistry),ML Packages (Pandas, Scikit-Learn, XGBoost, catboost, lightgbm, automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Ensemble Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph Neural net (Graph Attention Network), Page Rank, Centrality Analysis, Tree based Analysis, Outlier Detection Methods, Zero Shot/ Few Shot learning)</li><li>
Demonstrable experience with graph analytics, graph-based learning, and graph representation/visualization</li><li>
Experience in graph Database: TigerGraph, Neo4j</li><li>
Experience in Query Language: Hive, Cypher (Graph Query Language)</li><li>
Experience in developing and operationalization of data pipelines
</li><li>Familiarity and experience of assimilating large amounts of data from multiple databases and utilize them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and documenting quantitative analysis</li><li>
Experience with processes, controls and governance of a highly regulated environment; Self-starter and strong influencing skills with strong communication skills</li></ul>
Preferred qualifications, capabilities, and skills
<ul><li>Hands-on professional experience in software development especially with analytical &amp; computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.). Experience with EKS or AKS provisioning is a plus</li><li>
Post graduate degrees such as Master&rsquo;s Degree, PhD, etc. is preferred</li><li>
Real life exposure to Agile SDLC, ModelOps and /Or Design Thinking is desirable.</li><li>
Working knowledge of C/C#/C++ or others is a plus</li><li>
Experience in financial services industry especially in Operational Risk Management, Anti-Money Laundering &amp; Know Your Customer, Trade Surveillance model development</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Compliance - Applied AI/ML Senior Associate

<div>The Consultant / Sr. Consultant &ndash; Client Success is responsible for leading client relationships and delivering consultative, outcome‑driven support across the full client engagement lifecycle. This role partners closely with client SIU and claims organizations to develop engagement strategies, operationalize analytic solutions, and drive measurable business value.
Acting as a trusted product and industry advisor, the Consultant integrates Verisk anti‑fraud solutions into client workflows, delivers best‑practice guidance, and supports executive‑level discussions related to solution value, performance, and strategy. 
The successful candidate serves as a primary conduit between clients and internal stakeholders&mdash;including Product, Sales, Operations, Data Science, and Development&mdash;ensuring client needs are clearly understood and effectively addressed. This role requires deep domain expertise in claims and fraud analytics, strong client‑facing leadership, and the ability to independently navigate complex engagements with limited oversight. 
This role may be filled at either the Consultant or Senior Consultant level depending on experience, demonstrated capability, and business need. The scope of responsibilities is similar across levels; however, expectations differentiate in autonomy, complexity, influence, and leadership impact.</div>
 <div>Responsibilities &amp; Essential Duties:
<ul><li>Lead and own all aspects of client account stewardship, serving as the primary point of contact for assigned clients.
</li><li>The successful candidate serves as a trusted advisor to clients while collaborating closely with internal stakeholders. Depending on business need and experience, this role may also operate in a player-coach capacity, providing leadership and guidance to others while maintaining direct client responsibilities.
</li><li>Deliver consultative product guidance across all phases of the client lifecycle, including discovery, implementation, optimization, renewal, and expansion.
</li><li>Assess current‑state client operations and provide data‑driven recommendations for future‑state best practices.
</li><li>Support solution trials, proofs of concept, pilots, and value assessments using product‑generated insights.
</li><li>Drive engagement strategy, messaging, and approach in partnership with sales and internal stakeholders.
</li><li>Develop deep expertise in Verisk ISO anti‑fraud solutions and effectively position product value.
</li><li>Deliver impactful product demonstrations, training sessions, and executive‑level presentations (virtual and onsite).
</li><li>Advise clients on investigative techniques and leading practices to improve operational efficiency and return on investment.
</li><li>Evaluate new product functionality and enhancements, providing structured feedback and analysis.
</li><li>Provide data quality consultation aligned to client objectives and analytical priorities.
</li><li>Support contractual discussions and work agreement construction as needed.
</li><li>Maintain accurate documentation of client activities and engagement outcomes within internal platforms.
</li><li>May represent Verisk Anti-Fraud at industry conferences, councils, or other external forums, based on experience, expertise, and business need.
</li><li>Complete all responsibilities aligned to the annual Performance Plan
</li><li>Completes all special projects and other duties as assigned.
</li><li>Regular travel required, occasionally up to approximately 30%.
</li><li>Must be able to perform duties with or without reasonable accommodation.</li></ul></div>
 <div>Required Skills:
<ul><li>Leadership or equivalent experience within insurance claims, fraud investigation, or a related field.
</li><li>Demonstrated expertise identifying suspicious claims activity and insurance fraud indicators.
</li><li>Strong ability to diagnose client business challenges and translate needs into analytic and operational solutions.
</li><li>Understanding of insurance industry trends and the ability to align analytics to business outcomes.
</li><li>Proven ability to influence and collaborate across clients, internal teams, and industry partners.
</li><li>Excellent written, presentation, and public‑speaking skills, with comfort engaging audiences from frontline teams to executives.
</li><li>Strong commitment to delivering high‑quality client service.
</li><li>Proficiency in Microsoft Office (Excel, PowerPoint required). 
</li></ul>Preferred Qualifications:
<ul><li>Insurance carrier or insurance vendor experience.
</li><li>Consulting, solution implementation, or client training experience.
</li><li>Direct experience with SIU operations and government investigations.
</li><li>Experience with advanced fraud analytics or large‑scale implementation efforts.
</li><li>Familiarity with ISO products (e.g., ClaimSearch, scoring solutions, Research Hub, Digital Media Forensics).
</li><li>Industry certifications or memberships (e.g., CPCU, ARM, CFE, FCLA). 
</li></ul>Education and Training Requirements:
<ul><li>Bachelor&rsquo;s degree or equivalent experience.
</li><li>6+ years&rsquo; experience in insurance claims, fraud investigation, or analytics, with a strong emphasis on applying data and analytics operationally.
</li><li>Strong understanding of insurance operations, leadership acumen, policy, and claims lifecycles, KPIs, and fraud analytic techniques. 
</li></ul>#LI-MC1</div>
 <div>For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer, testaments to the value we place on workplace culture.
We&rsquo;re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
 Verisk Businesses
Underwriting Solutions &mdash; provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions &mdash; supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions &mdash; offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Specialty Business Solutions &mdash; provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Catastrophe and Risk Solutions &mdash; provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
Marketing Solutions &mdash; delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
Life Insurance Solutions &ndash; offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft &mdash; provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Verisk Employee Privacy Notice</div>

Sr. Consultant - Client Success Anti-Fraud Analytics (SIU / P&C)

<div>JOB DESCRIPTION 
Join one of the world's most influential companies and leverage your skills in cybersecurity to have a real impact on the financial industry.<div> 
</div><div>As a Lead Cybersecurity Architect at JPMorganChase within the cyber security and technology controls, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for carrying out critical cybersecurity architecture solutions by identifying, creating, and communicating risk, mitigation options, and solutions across multiple technical areas within various business functions in support of project goals.</div><div>
</div><div>Job responsibilities<ul><li>
Architect and assess data security controls across cloud and hybrid platforms (e.g., Databricks, Snowflake, AWS, GCP) including storage, compute, analytics, and streaming services.</li><li>
Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future cybersecurity needs</li><li>
Defines the technical target state of their cybersecurity product and drives achievement of the strategy</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall cybersecurity of software applications and systems</li><li>
Leads evaluation sessions with external vendors, startups, and internal teams to drive continuous improvement and assess cybersecurity design and technical credentials for use in existing systems and architecture</li><li>
Leads communities of practice to drive awareness and use of new and leading-edge cybersecurity technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect
</li></ul></div><div>Required qualifications, capabilities, and skills<ul><li>
Formal training or certification with 5 years experience in Data Technologies.</li><li>
Hands-on practical experience delivering enterprise-level cybersecurity solutions and controls</li><li>
Advanced in one or more programming languages. Proficiency in automation and continuous delivery methods
</li><li>Proficiency in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as continuous integration and delivery, application resiliency, and security?</li><li>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)
</li><li>Practical cloud native experience.
Deep knowledge of one or more software and applications</li><li>
Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture</li><li>
Experience effectively communicating with senior business leaders
</li></ul><div>Preferred qualifications, capabilities, and skills</div><ul><li>
Proven experience in data security architecture (or security architecture with substantial data platform scope) with a track record of delivering enterprise-scale controls.</li><li>
Strong knowledge of:
Data security concepts (classification, access controls, encryption, tokenization/masking, DLP, retention, secure sharing)</li><li>
Cloud security architecture for data services (storage, analytics, messaging/streaming).
Identity and access management patterns (federation, service identities, least privilege, ABAC/RBAC)</li><li>
Experience performing threat modeling, security design reviews, and risk assessments for complex data flows and distributed systems.
Working familiarity with secure engineering practices and common vulnerabilities (e.g., OWASP) as they apply to data APIs and services.
Proficiency or strong working knowledge in one or more languages (e.g., Python, Java) and Infrastructure-as-Code concepts.</li><li>
Familiarity with security and privacy frameworks/regulations (e.g., NIST, GDPR, HIPAA&mdash;where applicable).
Preferred Certifications (AWS Certified Solutions Architect, Databricks, Snowflake, Data Engineering)</li></ul>
</div>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Product Security - Cybersecurity Architecture

<div>JOB DESCRIPTION 
Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Databricks platform architecture on AWS, build Terraform/Python automation, mentor teams, and drive high-impact data innovation.
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. 
As a Senior Principal Software Engineer at JPMorganChase in Corporate &ndash; AIML Data Platforms and the Chief Data &amp; Analytics team, you will bring your deep expertise in Databricks and large-scale data engineering. In this role you will drive the architecture, design, and implementation of advanced data solutions, leveraging Databricks and related technologies to enable business insights and innovation 
Job Responsibilities<ul><li>
Leads the design, build, and troubleshooting of a scalable Databricks/Spark data platform and analytics workloads across cloud environments.</li><li>
Develops and maintains secure, production-grade Python code; perform code reviews, debugging, and engineering quality improvements across the team.</li><li>
Owns delivery of scalable data pipelines and analytics solutions on Databricks, applying strong distributed computing and performance troubleshooting practices.</li><li>
Designs and develops infrastructure automation for the Databricks control plane, including workspace provisioning, account configuration, onboarding/offboarding, and Delta Sharing using Terraform, AWS, and Python Lambdas.</li><li>
Develops secure, high-quality production code across Terraform modules, Python Lambda functions, and control plane services while reviewing and debugging code across the team.</li><li>
Leads the architecture of scalable Databricks platform infrastructure, including workspace automation, AWS networking, and control plane APIs enabling self-service for downstream teams.</li><li>
Define and implement best practices for data engineering, data lake architecture, and distributed computing</li><li>
Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools.</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li><li>
Mentor and guide technical teams, fostering a culture of continuous learning and excellence in software engineering practices</li></ul>
Required qualifications, capabilities, and skills
<ul><li>Formal training or certification on software engineering concepts and 10+ years applied experience</li><li>
Expert-level proficiency in Databricks platform administration, AWS networking, and infrastructure-as-code with Terraform</li><li>
Hands-on experience with Python application program development with use of automated unit testing</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Hands-on practical experience with terraform development and understanding of terraform enterprise</li><li>
Hands-on experience with GitHub / Bitbucket code versioning tool, Jenkins build tool and pypi / maven artifactory integrations</li><li>
Experience in managing product release lifecycle at enterprise level.</li></ul>
Preferred qualifications, capabilities, and skills
<ul><li>Strong knowledge of distributed compute frameworks like Spark and how platform-level configurations impact workload performance and reliability</li><li>
Experience with Agile development processes, as needed (SCRUM/KANBAN) using JIRA.</li><li>
Experience in Data pipelines using Spark</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Senior Principal - Databricks Platform Engineering Lead (Python)

<div>JOB DESCRIPTION 
<div>
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.</div><div> 
As a Product Manager within the Wholesale Credit Risk Forecasting team, you will be a key member focusing on delivering products to our end users. You will play a lead role in the end-to-end development and implementation of key Wholesale Credit projects, including defining roadmap and promoting the integration with Technology platforms, ensuring controls are met and delivering solutions to users. Additionally, with a strong commitment to scalability, resiliency, and stability, you will collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. You will collaborate with Wholesale Credit model developers, Tech partners and business partners on solutions pertaining to stress forecasting and allowance calculations. 
</div><div></div> 
<div><div>Job Responsibilities</div><div><ul><li>
Develops a product strategy and product vision that delivers value to customers</li><li>
Manages discovery efforts to uncover customer solutions and integrate them into the product roadmap</li><li>
Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition</li><li>
Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability</li><li>
Manage end-to-end delivery including overseeing the requirements, defining the project scope, model development, testing and delivery; focus will be on the end-to-end analytics infrastructure aspects</li><li>
Play a leadership role in the design, architecture and implementation of the firm&rsquo;s next generation stress and risk analytics platform for Wholesale Credit alongside Technology and the Business</li><li>
Work with technology and the business on the development of its strategic analytics platform as well as support the implementation and integration of models into the firms delivery platforms</li></ul>
</div><div>Required qualifications, capabilities, and skills</div><div><ul><li>
Minimum 5 years of experience or equivalent expertise in product management or a relevant domain area</li><li>
Advanced knowledge of the product development life cycle, design, and data analytics</li><li>
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management</li><li>
Strong, clear, and concise written and verbal communication with ability to edit and prepare executive level communications</li><li>
Excellent organizational skills and attention to detail; able to manage competing priorities under tight deadlines</li></ul>
</div><div>Preferred qualifications, capabilities, and skills</div><div><ul><li>
Experience within large Financial Services firms and basic level of domain knowledge in Credit Risk</li><li>
Experience working with Technology and UX Design colleagues and discussing technical designs</li></ul></div></div><div> 
</div>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Risk Management - Corporate - Wholesale Credit Risk Forecasting Product Manager - Vice President

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