Ai Data Science Specialist – Global Research jobs at Jpmorgan in India, Mumbai

As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions.

Job Responsibilities:

• Design and development of optimization models and simulation models.
• Support OR projects individually or part of a project team.
• Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
• Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies.
• Ensure the robustness of any mathematical solution.
• Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story.
• Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.

Required qualifications, capabilities and skills:

• Master’s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional.
• Experience supporting OR projects with multiple team members.
• Hands-on experience developing simulation models, optimization models and/or heuristics.
• Deep understanding of math and theory behind Operations Research techniques
• Proficient in Open Source Software(OSS) programming languages like Python, R or Scala.
• Experience with commercial solvers likeGUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc.).
• Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.

Preferred qualifications, capabilities and skills:

• Advanced expertise with Operations Research techniques.
• Prior experience building Reinforcement Learning Models.
• Extensive knowledge of Stochastic Modelling.
• Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

As an Applied AIML Engineer within our Corporate and Investment Banking Payments Applied AI/ML team, you will work in close coordination with various cross-functional teams such as Operations, Product, and Technology. Your role will involve designing and implementing AI-promote solutions that boost operational efficiency and foster business innovation. Leveraging your expertise in artificial intelligence and machine learning, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our operations, ensuring we remain at the cutting edge of the financial industry.

Job Responsibilities :

• Developing and Delivering AI Solutions : Write and deliver high-quality code for AI-driven payments initiatives, ensuring robust and efficient solutions that meet business objectives.
• Collaborate Cross - Functionally : Work closely with Operations, Technology, and Product teams to address and solve complex problems, leveraging AI and ML technologies.
• Partnering with Global Team : Collaborate with global team members and leaders to deliver innovative solutions while fostering a culture of respect and inclusivity.
• Reviewing Code and Application Design : Conduct thorough code reviews and design new applications and services with a focus on reusability and scalability.
• Managing Codes end to end : Own and manage the entire code lifecycle, from development through to production deployment, ensuring seamless integration and operation.
• Maintaining Code Practices : Write clean, maintainable, and readable code that adheres to best practices and industry standards.
• Engaging with Stakeholders : Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.
• Communicating on Projects : Provide clear and concise updates to project managers and program teams, ensuring transparency and alignment on project progress.
• Estimating Accurately : Deliver clear and realistic time and resource estimates that are critical for effective project planning and delivery.
• Testing Comprehensively : Ensure code quality through proper unit test coverage and support both functional and automated testing processes to guarantee reliable and high-performing solutions.
  

Required qualifications, capabilities and skills :

• Minimum 5 years of industry experience
• BE – Computers / IT or equivalent
• Projects delivery in AIML space for minimum years
• Tech stack – python, pandas, flask, fastAPI, tensorflow, LLMs etc.

Job Summary

As a Systematic Portfolio Manager, you will participate in managing our existing passive and active systematic separate accounts and ETFs, while playing a crucial role in developing new strategies and supporting the rollout of our active ETF platform. Your responsibilities will include driving the integration of portfolio optimization tools into the investment process, ensuring their seamless incorporation into the broader GFICC business.

Job Responsibilities

• Manage passive and active Systematic Fixed Income strategies, with a focus on portfolio management, continuous monitoring, and the development of new strategies.
• Collaborate with the Quantitative Research team to refine portfolio construction techniques and enhance existing systematic fixed income strategies.
• Integrate and improve the portfolio optimization framework, working with the dedicated tech team for further advancements.
• Monitor client portfolios to ensure they align with investment strategies and client guidelines.
• Work with the platform's sector specialists to integrate their expertise into systematic portfolios.
• Engage with clients on bespoke research for systematic investment solutions, communicate performance, and pursue new business opportunities.
• Work with asset management teams, including distribution and product development, to articulate key investment capabilities and design tailored solutions.

Required qualifications, capabilities and skills

• Extensive experience in Fixed Income portfolio management
• Bachelor's degree in Statistics, Economics, Finance, or a related scientific discipline.
• Strong knowledge of public fixed income markets, including credit, interest rates, or structured finance.
• Proven ability to work effectively in a team-oriented setting and manage multiple tasks simultaneously.
• Strong technical, analytical, and complex problem-solving skills, with attention to detail in a fast-paced environment.
• Demonstrates drive, determination, and a results-oriented work ethic, thriving in a team-based, collaborative environment with excellent communication and relationship skills.
• Strong data and analytical skills, with proficiency in Excel and Python.

Preferred qualifications, capabilities and skills

• Experience with portfolio optimization and managing ETFs
• CFA designation is a plus.
• Experience executing portfolio trades and derivatives expertise.

Embark on a rewarding journey as an Asset Servicing Specialist within our dynamic Asset Servicing team, where you will manage all corporate and income-related events across various asset classes, ensuring precision and excellence in every transaction.

As an Asset Servicing Specialist within our Asset Servicing team, you will manage all corporate and income-related events across various asset classes. You will reconcile positions, process transactions, and serve as a point of contact for internal communication. This role offers the opportunity to leverage your expertise in asset servicing, work closely with business partners, and promote process improvements.

Job Responsibilities :

• Reconcile positions, payments, and process transactions to client’s account.
• Perform both routine and non-routine asset servicing transactions and tasks with moderate to advanced complexity by leveraging intermediate to advanced subject matter expertise. This may include diagnosing problems and providing operational or technical resolution within defined and limited autonomy.
• Manage customer accounts, process payments, income, or taxes, and resolve queries across multiple corporate- and income-related events.
• Understand the asset servicing lifecycle.
• Serve as point of contact for internal communication with Middle Office and Client Service.
• Review peer work and offer suggestions on process improvements.
• Be flexible with extended hours as per business requirements to meet client expectations.
• Work under pressure and in different shifts

Required qualifications, skills and capabilities:

• Excellent prior asset servicing services, securities lending or prime brokerage operational experience
• Strong analytical and problem-solving skills including taking the initiative to drive change and enhance controls
• Ability to manage through a changing business landscape
• Bachelor’s degree required
• Extensive working knowledge of Microsoft Office products including Word, Excel (VLOOKUP), and Outlook

As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods.

Job Responsibilities:

• Uncover novel use cases of Big Data analytics for the Credit Card business.
• Drive data science/AIML use case development supporting the Card business.
• Help partners define business problems and scope analytical solutions.
• Build an understanding of the problem domain and available data assets.
• Research, design, implement, and evaluate analytical approaches and models.
• Perform ad-hoc exploratory statistics, data mining, and model testing.
• Investigate data visualization techniques for conveying key findings.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field.
• Exceptional analytical, quantitative, problem-solving, and communication skills.
• Demonstrated intellectual curiosity for solving business problems.
• Excellent leadership, consultative partnering, and collaboration skills.
• Knowledge of statistical software packages (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
• Experience with modern data science tools (e.g., OpenAI, SQL, Spark, Python).

Preferred Qualifications, Capabilities, and Skills:

• Understanding of key drivers within the credit card P&L.
• Financial services background preferred.
• M.S. equivalent preferred.

As a Risk Management - Risk Oversight Lead for Commerce Payments - Vice President in the Consumer & Business Banking Risk Management group, you will be responsible for partnering with the Digital Payments teams and recommending the right level of fraud and scam controls for new business initiatives and existing processes in Card Payments. Features like digital wallets; co-brand cards; etc. are carefully evaluated for risk. You will be a key contributor to the Risk Oversight team's 2nd line mission by collaborating on the design of products and features that are both easy-to-use and secure for customers. You will also partner closely with Legal, Compliance and Controls to advise on issues and concerns, as well as conduct threat assessments that describe key risk scenarios and necessary mitigation to the risks.

Job Responsibilities

• Look for ways payment use cases can potentially facilitate fraud and scam scenarios, as well as operational and reputational risk
• Evaluate new payment features or modifications to existing services to ensure that the Product team has identified all the risks and has included appropriate controls to mitigate risks
• Know the wallet payment flows you oversee just as well as the Product team
• Have a working knowledge of cross-channel controls that are used to mitigate inherent risk in Digital
• Reliably represent the interests of other internal stakeholders in risk management
• Collaborate with the business to solve problems but escalates within the risk management framework when the business exposes the bank to risk in an unsafe way
• Stay abreast of new/changes in provisioning, tokenization, authentication, technology, and Digital financial services
• Deconstruct and explain complex concepts and issues in a business-friendly manner to senior/executive management
• Work effectively as an individual contributor and collaborative team member on simultaneous projects.
• Possess excellent verbal and written communication skills and the ability to interact professionally with executives, managers, and subject matter experts
• Work well in a team environment, including cross-functional teams

Required qualifications, capabilities, and skills

• Bachelor's degree
• Minimum of 5 years in a control function (Audit, Controls, Operational Risk Management, Information Risk Management, Compliance) or other relevant function
• Critical thinking skills
• Ability to defend positions and influence with quantitative analysis developed with an analytical team
• Ability to work effectively with both business and technically oriented individuals
• Excellent written and verbal communication skills
• Ability to work in a diverse and inclusive environment