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payments - data scientist associate Jobs in Mumbai

payments - data scientist associate

data scientist llm

MavenMagnet AI

<div>
 
 MavenMagnet is an AI-based data analytics company transforming insights generation by delivering in-depth analysis and discovery with significant time and cost efficiency as compared to traditional alternatives.
 
 
 
 
 
 We use thousands of digitally-sourced data points - news, blogs, forums, communities, chat rooms, product reviews, social networks, POS, product sales &amp; support, and proprietary client datasets - to provide our clients a seamless strategic perspective by delivering qualitative insights on a quantitative scale, while eliminating respondent bias and research fatigue.
 
 
 
 
 
 A rich combination of AI and machine learning technology and strategic human expertise helps us deliver actionable insights in near real-time.
 
 
 
 
 
 We are looking for a creative Data Scientist to join our team! An extremely important role for our success.
 
 
 
 
 
 As a member of the development team, your responsibilities will include transfer learning and training LLMs. Ideal candidates will have a strong data science background and can help us build/fine-tune in-house LLMs.
 
 
 
 
 
 You'll have the opportunity to work with large-scale data sets and turn your insights into real products. You'll be an integral part in how we understand user behavior, identify and recommend product opportunities, which are all critical to how we can scale our ever-growing user base.&nbsp;
 
 
 
 
 
 Responsibilities:
 
 <ul>
 <li>
 Modifies and analyzes complex data sets using analytics techniques such as machine learning, statistical analysis, Natural Language Processing, identifing modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables.
 </li>
 <li>
 Investigates data characteristics, complexity, quality, and meaning. Through visualizations and summarizations, defines performance, identifies trends, outliers, and drivers.
 </li>
 <li>
 Prepares data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data.
 </li>
 <li>
 Fine-tune LLM for NLP, multi-labeling, image detection, emotion detection, etc.
 </li>
 </ul>
 
 
 
 
 Required Skills:
 
 <ul>
 <li>
 1-3 years of industry experience in data science developing ML Models for
 
 NLP
 
 .
 </li>
 <li>
 1-2 years of experience in fine-tuning and training
 
 LLM
 
 .
 </li>
 <li>
 Experience of building NLP Models for Topic Modeling, Multi-labeling data science solutions.
 </li>
 <li>
 Experience in relevant programming languages (e.g. Python)
 </li>
 <li>
 Experience within the Python Data Science ecosystem - NumPy, SciPy, Jupyter, etc.
 </li>
 <li>
 Experience in AWS cloud. Developing and deploying applications in the cloud.
 </li>
 <li>
 MS in Data Science
 </li>
 <li>
 Past experience with startups and a fast-paced environment is an added advantage.
 </li>
 </ul>
 
 
 
 
 Provide a link to a Github that showcases your work.
 
 
 &nbsp;
 
 
 Preferred Requirements:
 
 <ul>
 <li>
 
 MS in Data Science from IIT/NIT
 
 </li>
 <li>
 Experience building deep neural networks to production.
 </li>
 <li>
 Experience in AWS, Google cloud, Azure.
 </li>
 <li>
 Experience with large volume data processing systems.
 </li>
 <li>
 Experience with Agile software development.
 </li>
 <li>
 Good knowledge of Database technologies such as SQL, PL/SQL and relational database schema design.
 </li>
 </ul>
 
 
 
 
 Here&rsquo;s what we&rsquo;ll set you up with:
 
 <ul>
 <li>
 A team that is invested in your career growth and training
 </li>
 <li>
 Competitive salary and equity, based on experience
 </li>
 <li>
 Best-in-class health insurance, including dental and vision coverage.
 </li>
 <li>
 Work alongside world-class talent
 </li>
 <li>
 Flexible vacation / paid time off policy
 </li>
 <li>
 Personal style encouraged&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 &nbsp;
 
 
 
 
</div>

Data Scientist - LLM

NextHire (Part of Algotale Group)

<div>
 
 
 Job Description &ndash; Legal Counsel (Non-Litigation) |NBFC &amp; Fintech
 
 
 
 
 Experience: 4+ years
 
 
 
 
 Location - Mumbai (Parel/Prabhadevi)
 
 
 
 
 WFO - 5 days working
 
 
 
 
 
 
 
 If interested apply here
 
 : https://forms.gle/3jWtHPFB2XX6X8cz8
 
 
 
 
 
 About the Role:
 
 
 We are seeking an experienced Legal Counsel with a Non-Litigation (70%) focus to manage legal, contractual, and regulatory matters for our NBFC and Fintech operations. The role involves providing strategic legal advice, drafting agreements, and ensuring regulatory compliance in a dynamic financial ecosystem.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Draft, review, and negotiate loan, vendor, SaaS, and partnership agreements.
 
 
 &bull; Provide legal advisory on digital lending, co-lending, securitization, and debt instruments.
 
 
 &bull; Ensure compliance with RBI, KYC/AML, and digital lending guidelines.
 
 
 &bull; Draft internal legal policies, SOPs, and review operational documentation.
 
 
 &bull; Support regulatory inspections, compliance audits, and data privacy matters.
 
 
 &bull; Handle non-litigation legal support, dispute resolution strategies, and risk assessment.
 
 
 &bull; Liaise with external counsel for litigation follow-ups (as required).
 
 
 
 
 
 Requirements:
 
 
 &bull; LLB (LLM preferred) with 4+ years in NBFC/Fintech/Financial Services.
 
 
 &bull; Strong understanding of RBI norms, Fintech compliance, and contract law.
 
 
 &bull; Excellent drafting, negotiation, and advisory skills.
 
 
 &bull; Ability to work cross-functionally with business, compliance.
 
 
 
</div>

Legal Counsel

JPMorganChase

<div>
 
 Job Description
 
 
 
 Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
 
 
 As a Software Engineer I at JPMorgan Chase within the Model Risk Governance &amp; Review (MRGR) team, you will be developing tools for MRGR Analytics to improve efficiency and reduce duplication of effort, including resource management and cost optimization tools. You will provide support for model reviewers and governance teams in building independent testing and efficiency tools. You will be delivering high-quality solutions by emphasizing the importance of data controls, testing, user experience and continuously seek input from users to align efforts with their objectives. Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient.
 
 
 Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. MRGR is a global team of modeling experts within the firm&rsquo;s Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. Within MRGR, the Chief Operating Office (COO) supports model risk stakeholders in their review and governance activities, and drives certain governance activities itself, with responsibility for: product ownership, process engineering and software development for model risk technology and analytics; model risk reporting; administration of oversight committees; project management of the review and governance pipeline; coordination of regulatory/audit deliverables including capital stress testing exercises; and general business management. Within COO, MRGR Analytics provides technology solutions for MRGR and its clients, assisting them in performing their tasks more efficiently, accurately, and with better control. Majority of the solutions are built within Athena (JPMorganChase&rsquo;s proprietary framework using Python language), Tableau and QlikView/QlikSense frameworks.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Develop tools to automate various tasks in the model governance and review lifecycle.
 </li>
 <li>
 Build various dashboard reports to help manage the body of work that MRGR deals with.
 </li>
 <li>
 Translate the existing business requirements in model risk management space into business applications using applied development work mostly in Python using in-house built Python framework.
 </li>
 <li>
 Integrate Large Language Models (LLMs) into existing systems to enhance automation, reporting capabilities and decision-making processes.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities for LLM integration and develop solutions that leverage LLM capabilities.
 </li>
 <li>
 Build intelligent solutions to support the activities of MRGR staff.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 A Bachelors or Masters degree in a Science, Technology, Engineering, or Mathematics discipline with significant exposure to computer programming.
 </li>
 <li>
 Minimum 2 years of full stack application development.
 </li>
 <li>
 Proficient in Python and knowledge of Tornado web framework / TypeScript / React required.
 </li>
 <li>
 Good understanding of software architecture, object-oriented programming and design patterns.
 </li>
 <li>
 Experience with integrating machine learning models, including LLMs, into enterprise applications.
 </li>
 <li>
 Strong communication skills with the ability to interface with other functional areas in the firm on business requirements.
 </li>
 <li>
 Risk and control mindset: ability to think critically, assess user needs and create design solutions to meet user needs.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Experience in working with large data sets.
 </li>
 <li>
 Exposure to LLM integration and deployment in real-world applications.
 </li>
 <li>
 Strong UI/UX designing skills.
 </li>
 <li>
 Experience in model risk management or financial services space.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 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.
 
 
 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.
 
 
 
 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.
 
 
 Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
</div>

Software Engineer I

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 Min Experience: 3 years
 
 
 Location: Navi Mumbai
 
 
 JobType : full-time
 
 
 We are seeking a highly skilled
 
 Data Scientist - AI
 
 to design and deploy advanced deep learning systems that uncover actionable insights from diverse data sources, including text, imagery, and time-series datasets. You'll work at the intersection of research and production&mdash;building scalable AI pipelines, fine-tuning transformer models, and collaborating closely with quantitative researchers to turn machine learning outputs into meaningful business signals.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Research, design, and train deep learning models (LLMs, CNNs) to extract and identify pricing or predictive signals from multiple data types.
 </li>
 <li>
 Build and maintain end-to-end AI orchestration pipelines for data ingestion, feature extraction, model training, and real-time inference.
 </li>
 <li>
 Develop scalable MLOps workflows using AWS, Docker, CI/CD, and orchestration tools for automated model deployment, monitoring, and version control.
 </li>
 <li>
 Fine-tune Hugging Face transformer models and integrate them into production-ready AI systems.
 </li>
 <li>
 Architect and manage data processing layers in Python and MongoDB to enable reproducible, high-performance experimentation.
 </li>
 <li>
 Collaborate with quantitative researchers to translate ML model outputs into actionable insights or trading signals.
 </li>
 <li>
 Implement evaluation frameworks to continuously monitor model performance, drift, and reliability.
 </li>
 <li>
 Drive innovation by experimenting with multimodal, self-supervised, and reinforcement learning techniques to enhance predictive capabilities.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 3-6 years of experience in data science, applied AI, or ML research (exceptional candidates with less experience are encouraged to apply).
 </li>
 <li>
 Strong proficiency in Python, with expertise in PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience with transformer and CNN architectures.
 </li>
 <li>
 Familiarity with Hugging Face, AWS SageMaker, or similar ML orchestration platforms.
 </li>
 <li>
 Proven experience in MLOps &mdash; building, deploying, and maintaining production-grade ML pipelines.
 </li>
 <li>
 Working knowledge of data engineering tools (e.g., MongoDB, Pandas, NumPy, Airflow, Prefect).
 </li>
 <li>
 Solid mathematical foundation in probability, statistics, and optimization.
 </li>
 <li>
 Excellent software engineering practices &mdash; clean, modular code with Git-based version control and CI/CD.
 </li>
 <li>
 A strong sense of curiosity, experimentation, and drive to apply AI solutions to real-world problems.
 </li>
 <li>
 Must be based in or open to relocating to Navi Mumbai.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 Data Science | Deep Learning | Machine Learning | PyTorch | TensorFlow | Hugging Face | AWS | MLOps | NLP | Computer Vision | Model Deployment | Data Engineering
</div>

Data Scientist - AI

General Mills India

<div>
 Position Title
 
 
 Scientist II &ndash; Statistics
 
 
 Function/Group
 
 
 R&amp;D/Packaging
 
 
 Location
 
 
 Mumbai
 
 
 Shift Timing
 
 
 Regular
 
 
 Role Reports to
 
 
 Assistant Manager, Global Knowledge Solutions
 
 
 Remote/Hybrid/in-Office
 
 
 Hybrid
 
 
 
 About General Mills
 
 
 
 
 We make food the world loves: 100 brands. In 100 countries. Across six continents.
 
 With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
 
 
 How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate.
 
 
 us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com
 
 
 General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.
 
 
 With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital &amp; Technology (D&amp;T) Innovation, Technology &amp; Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy &amp; Intelligence (SSI), Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in
 
 
 We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.
 
 
 
 Job Overview
 
 
 
 
 Function Overview
 
 
 
 In partnership with our cross-functional partners, ITQ innovates and develops products that meet the ever-changing needs of our consumers and enables long-term business growth. We identify and develop technologies that shape and protect our businesses today and into the future. ITQ operates across three organizations: Global Applications, Capabilities COEs, and Shared Services &amp; Operations
 
 
 For more details about General Mills please visit this Link
 
 
 
 Purpose of the role
 
 
 
 The Global Knowledge Services (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.
 
 
 The scientists in the Statistics and Analytics Program Area will collaborate with US and India GKS team members to deliver high value statistical work that advances ITQ initiatives in consumer product research, health and nutrition science, research and development, and quality improvement.
 
 
 The Scientist II in this program area is expected to: take ownership of the projects, deep expertise in statistical methodologies, data analysis, and model development. They will be responsible for providing advanced statistical consulting services, developing analytics solutions, and supporting decision-making processes across various projects.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 70%of Time-Excellent Technical Work
 </li>
 <li>
 Independently work on projects and take ownership of the deliverables.
 </li>
 <li>
 Provide expert statistical consulting and support to internal and external clients on various projects.
 </li>
 <li>
 Design, implement, and interpret statistical analyses, including hypothesis testing, regression analysis, experimental design, and multivariate analysis.
 </li>
 <li>
 Develop and validate statistical models for predictive and prescriptive analytics.
 </li>
 <li>
 Collaborate with cross-functional teams to translate complex data into actionable insights.
 </li>
 <li>
 Advise on best practices for data collection, quality control, and management.
 </li>
 <li>
 Develop effective strategies for programming and data analysis based on client consultations and project briefs.
 </li>
 <li>
 Create high-quality programs for data preparation, data cleaning, statistical analysis, and results validation.
 </li>
 <li>
 Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling.
 </li>
 <li>
 Effectively and efficiently use advanced statistical software (e.g., R, Python) in support of project work.
 </li>
 <li>
 Leveraging multiple data sets to discover new insights.
 </li>
 <li>
 Create accurate and clear summary tables, visualizations, reports, and models that convey the required information and insights.
 </li>
 <li>
 Prepare detailed reports, presentations, and publications to communicate findings and recommendations.
 </li>
 <li>
 Mentor and train team members on statistical techniques and software.
 
 
 </li>
 </ul>
 15% of Time-Client Consultation and Business Partnering
 
 
 <ul>
 <li>
 Work effectively with clients to identify client needs and success criteria, and translate into clear project objectives, timelines, and plans.
 </li>
 <li>
 Be responsive and timely in sharing project updates, responding to client queries, and delivering on project commitments.
 </li>
 <li>
 Clearly communicate analysis, conclusions, insights, and conclusions to clients using written reports and real-time meetings.
 
 
 </li>
 </ul>
 10% of Time-Innovation, Continuous Improvement (CI), and Personal Development
 
 
 <ul>
 <li>
 Learn and apply a CI mindset to work, seeking opportunities for improvements in efficiency and client value.
 </li>
 <li>
 Identify new resources, develop new methods, and seek external inspiration to drive innovations in our work processes.
 </li>
 <li>
 Continually build skills and knowledge in the fields of statistics, and the relevant sciences.
 
 
 </li>
 </ul>
 5% of Time-Administration
 
 
 <ul>
 <li>
 Participate in all required training (Safety, HR, Finance, CI, other) and actively GKS, and ITQ meetings, events, and activities.
 </li>
 <li>
 Complete other administrative tasks as required.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Minimum Degree Requirements: Ph.D. in Statistics from an accredited university
 </li>
 <li>
 Minimum 2 years of related experience required
 
 
 </li>
 </ul>
 
 Specific Job Experience Or Skills Needed
 
 
 
 <ul>
 <li>
 D. in Statistics or a closely related field.
 </li>
 <li>
 Extensive knowledge of statistical theories, methodologies, and software (e.g., R, Minitab, Python, SQL).
 </li>
 <li>
 Proven experience in applying statistical techniques to real-world problems across various industries.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently on complex projects.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present complex statistical concepts to non-technical audiences.
 </li>
 <li>
 Experience with large datasets, data mining, and machine learning is a plus.
 </li>
 <li>
 Working experience in GCP is a plus.
 </li>
 <li>
 Experience in working on a project from inception to end is desirable.
 
 
 </li>
 </ul>
 
 For Global Knowledge Solutions
 
 
 
 <ul>
 <li>
 Ability to effectively work cross-functionally with internal/global team members.
 </li>
 <li>
 High self-motivation, with the ability to work both independently and in teams.
 </li>
 <li>
 Excels at driving projects to completion, with attention to detail.
 </li>
 <li>
 Ability to exercise judgment in handling confidential and proprietary information.
 </li>
 <li>
 Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously.
 </li>
 <li>
 Demonstrated creative problem-solving abilities, attention to detail, ability to &ldquo;think outside the box.&rdquo;
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Preferred Major Area of Study: Statistics
 </li>
 <li>
 Preferred Professional Certifications: R, Python
 </li>
 <li>
 Preferred 2 years of related experience
 
 
 </li>
 </ul>
 
 Company Overview
 
 
 
 We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best &mdash; bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what&rsquo;s next.
</div>

Scientist - II

YES BANK

<div>
 
 PROFILE &ndash;
 
 
 
 <ul>
 <li>
 Qualification:
 
 
 </li>
 </ul>
 i) LLB from any reputed law college/university in India.
 
 
 ii) Master&rsquo;s Degree/LLM from foreign or reputed domestic institutions will be preferred.
 
 
 iii) Should be or have worked in scheduled commercial banks or foreign banks or law firms, handling legal matters related to cross border transactions or related portfolio.
 
 
 iv) Should be well versed with Indian laws and regulations related to lending and security creation etc. related to wholesale banking portfolio.
 
 
 <ul>
 <li>
 PQE: 4-8 years of relevant work experience
 </li>
 <li>
 Place of Joining: Candidate shall be required to join at the Registered office of the Bank situated in Mumbai. No hybrid structure of working shall be permissible.
 </li>
 <li>
 Responsibilities:
 
 
 </li>
 </ul>
 i) Drafting, negotiating, and reviewing of transaction and security documents for domestic and cross-border lending transactions. Candidates should be familiar with APLMA/LMA documentation.
 
 
 ii) Liaison with external legal counsels (domestic and foreign) for handling cross-border transaction across multiple geographies.
 
 
 iii) Vetting of product/process notes, policies, terms and conditions etc., related to various products/services from IBU branches and business groups.
 
 
 iv) Analyzing legal issues related to statutory and regulatory risks/compliances and providing advisories/recommendations to business teams.
 
 
 v) Tracking and updating laws, rules and regulations, relevant to the Bank&rsquo;s business and policies.
 
 
 <ul>
 <li>
 Exclusion: (i) Candidates with relevant qualification and experience will only be considered (ii) Candidates with only Litigation or Retail portfolio or Collection profile shall not be considered (iii) No hybrid structure of working shall be permissible.
 </li>
 </ul>
</div>

<div>
 
 Job Description
 
 
 
 Join J.P. Morgan&rsquo;s Corporate &amp; Investment Bank, a global leader trusted by corporations, governments, and institutions in over 100 countries. Our Payments division processes $6 trillion daily, leading industry transformation. As part of Merchant Services, you'll work with a top provider of payment, fraud management, and data security solutions, supporting transactions in over 130 currencies. The Payments Data and Analytics team, comprising data scientists, design strategists, and business leaders, crafts data products that revolutionize business operations. Be part of a team that impacts thousands of clients globally and promotes significant change within J.P. Morgan.
 
 
 As a Data Scientist Associate within the Payments Data and Analytics team, you will be responsible for executing big data analytics projects to promote product innovation for Merchant Services. You will focus on delivering value to clients and the firm through ChaseNet Analytics, analyzing complex payment structures, and creating insightful visualizations. Your role will involve collaborating with stakeholders to understand business objectives, developing data models, and providing actionable recommendations to optimize payment performance. You will have the opportunity to work with cutting-edge technologies and contribute to the transformation of financial services.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Develop and plan analytic projects through understanding the business objectives in the team strategy roadmap
 </li>
 <li>
 Develop robust analysis and deliverable plans to support clear and shared understanding of project requirements and goals
 </li>
 <li>
 Develop the data, queries, tables and visualizations that deliver insight both as an individual contributor and in collaboration with teammates
 </li>
 <li>
 Through deep subject matter expertise, create actionable recommendations to merchants on how to optimize their payment performance
 </li>
 <li>
 Productionalize Tableau dashboards for resilience and the functionality users need
 </li>
 <li>
 Bring your creative solutions to the firm&rsquo;s biggest problems: where could our existing solutions do better?
 </li>
 <li>
 Contribute to the development of data models for future analytics and platforms in conjunction with data owners and department managers,
 </li>
 <li>
 Collaborate with unit managers, end users, development staff, and other stakeholders to understand the business value of each analytic effort
 </li>
 <li>
 Apply quality assurance best practices for analytics services and support user feedback and questions
 </li>
 <li>
 Adhere to change control and testing processes for modifications to code and products
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field
 </li>
 <li>
 3+ years of working in a big data environment as a contributing member in self-directed roles
 </li>
 <li>
 Deep experience across the full range of database and business intelligence tools especially SQL on Snowflake, Python, and ability for rapid prototyping in Tableau; publishing and presenting information in an engaging way
 </li>
 <li>
 Understanding of algorithms and software engineering fundamentals
 </li>
 <li>
 Demonstrated ability to distill KPIs and other performance metrics from data
 </li>
 <li>
 Intensive, recent experience in assessing and sourcing data, optimizing data structure and managing database query performance
 </li>
 <li>
 Ability to clearly develop and document analytic requirements with stakeholders
 </li>
 <li>
 Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
 </li>
 <li>
 Proven strategic thinking and creative problem-solving skills with ability to translate strategy into deliverables
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities And Skills
 
 
 
 <ul>
 <li>
 Experience in the payments industry and/or technology-enabled industries is desirable
 </li>
 <li>
 Build trust-based relationships; we succeed as a team
 </li>
 <li>
 Charisma, gravitas, intellect, flexibility, and integrity that motivates others to trust, collaborate, and follow
 </li>
 <li>
 Have strong interpersonal and communication skills and the ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
 </li>
 <li>
 Think creatively and contribute ideas at all levels of project development
 </li>
 <li>
 Meet deadlines and communicate obstacles to delivery as soon as they become known
 </li>
 <li>
 Be results oriented and have great attention to detail
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 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.
 
 
 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.
 
 
 
 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>

Payments - Data Scientist Associate

Explore 149+ Data scientist llm in Mumbai this November. Find roles across top companies and apply now to boost your career.

149 data scientist llm jobs IN Mumbai

Data Scientist - LLM

Legal Counsel

Software Engineer I

Data Scientist - AI

Scientist - II

Legal Counsel

Payments - Data Scientist Associate