Quantitative Research Equity Derivative Modelling 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.

Job responsibilities:

• Build and maintain tools, UIs and frameworks supporting our systematic risk taking in our Rates trading businesses.
• Build and maintain systematic strategies and performance monitoring and attribution systems.
• Enhance the robustness and integration of the tools and models within the wider Rates trading group.
• Process, clean and analyse large datasets used in the context of alpha research.
• Work closely with traders to learn, understand and improve relevant tools and models.

Required qualifications, capabilities and skills:

• Extensive professional experience in software development, with a strong focus on Python
• Experience with data analysis techniques along with relevant data science libraries (numpy, pandas, etc.) and visualization tools (dash, panel)
• Knowledge of database systems (KDB)
• Strong interpersonal and communication skills; ability to collaborate effectively with traders, quantitative researchers and software developers
• Exceptional attention to detail and outstanding work ethic
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering or a related field

Preferred qualifications, capabilities and skills:

• Knowledge of Fixed Income / Rates
• Experience with high-frequency trading, algorithmic trading or electronic trading
• Proficiency in Java
• Experience working collaboratively on common codebases using git

Job responsibilities

• Involves in end-to-end research, development, and maintenance of investment algorithms
• Contributes to development and maintenance of optimization models, take part in building out the research and development framework
• Vets investment algorithmic results thoroughly and contributes to the research data platform design
• Investigates datasets for use in new or existing algorithms, participate in agile practices and liaise with stakeholders to gather & understand the functional requirements
• Takes part in research & code reviews , develop code using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live
• Supports research innovation through the creative and thorough experimentation of cutting-edge hardware, advanced analytics, machine learning techniques, and other methods
• Collaborates with technology teams to ensure appropriate requirements, standards, and integration

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Proficient in Python, Git and Jira
• Master’s degree in computer science, computational mathematics, or financial engineering
• Excellent mathematical foundation and hands-on experience working in the finance industry
• Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc.
• Strong communication (written and oral) and analytical problem-solving skills
• Strong sense of attention to detail, pride in delivering high quality work and willingness to learn
• An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.)
• Knowledgeable in SQL

Preferred qualifications, capabilities, and skills

• Professional experience with commercial optimizers (Gurobi, CPLEX) is an added advantage
• Able to shift gears and react quickly to timely requests
• Self-motivated, proactive, responsive-ability to think strategically but also willing to dig into the details and tactics
• Understanding of LaTeX and/or RMarkdown is a plus

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

you will partner with traders, technology and risk managers across all products and regions, contributing to valuation and risk management, portfolio optimization, and applying appropriate financial risk controls.

Job Responsibilities:

• Contribute to the firm’s Commodities business by working closely with the Trading and Technology teams globally. As a Quant, you’ll have the chance to:
• Develop and improve derivative pricing models for Commodities
• Research and implement data driven statistical models
• Develop and enhance the risk management platform to hedge and aggregate positions
• Build and enhance pricing and marking tools
• Provide desk support to help analyze Risk and P&L issues day to day
• Understand valuation and risk management of Commodities derivatives products
• Collaborate with traders and be proactive to access and learn J. P. Morgan’s highly sophisticated solutions.

Required experience, skills and qualifications:

• Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.
• Strongprogramming background with proficiency in Python or C++.
• Understand advanced mathematics used in financial modeling including topics such as calculus, numerical analysis, optimization, and statistics.
• Understanding of the mathematics involved in the valuation of financial products and strategies.
• Experienced with object-oriented programming concepts.
• Demonstrateexceptional analytical, quantitative, and problem-solving skill.
• Excellent communication skills, both verbal and written, can engage and influence partners and stakeholders; You are good at communicating concepts and ideas, also via written documentation, and you are keen to defend their validity and tailor messages to different audiences.

Preferred experience, skills and qualifications:

• Experience of financial markets
• Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations.
• You are interested in quantitative research within global markets.
• You understand the different types of financial risk and you can discuss in detail ways of managing these risks.
• You are interested in working in a front-office environment.
• You havegood practical knowledge of derivatives pricing and risk management of vanilla options and volatility products.
• A mindset of robust solution design.

As a CRG Analyst, you will work closely with the IFA team in London, providing support for preparing pitch books, financial modeling analyses, marketing and other support materials that the senior client bankers take to their clients during meetings. Candidates should have an interest in infrastructure, strong communication, analytical and technical skills, excellent attention to detail, and a strong work ethic.

Job Responsibilities

• Preparation of pitch material: Work with associates and analysts to prepare marketing materials for client pitches including relevant market / industry updates, ratings advisory materials, and debt / transaction comps
• Work on drafting financing proposals, investor materials, road show marketing materials, rating agency presentations, and other marketing materials
• Financial analysis: Develop financial models and complete financial analyses for infrastructure projects across all sectors
• Deal execution: Coordinating on execution work (e.g. develop analytical pages / prepare model outputs) for relevant ongoing deals
• Research: Source and interpret company, project & industry information from a variety of data sources (company reports, Internet, online databases, JPMorgan proprietary content) with an aim to forming views on the industry, key trends and individual assets / companies. Summarize and synthesize news updates/research reports.
• Pipeline / Internal Management: Coordinate internal tracking pipelines and manage other internal business workstreams as needed

Required qualifications, capabilities, and skills

• Master's Degree / CA qualification required
• Strong analytic fundamentals including financial modeling (preferable if modelling experience in infra / project finance space)
• Microsoft Office experience including Word, PowerPoint and Excel required
• Ability to be a team player and maintain a positive attitude
• Highly motivated self-starter, and work well under pressure and tight deadlines
• Ability to work interfacing with a global team; managing requests as needed in a timely manner
• Good communication skills

Preferred qualifications, capabilities, and skills

• Knowledge of the industry / debt and derivatives instruments is a plus
• Prior knowledge of project finance / infrastructure is a plus
• CFA or similar qualifications is a plus

What You'll Do:

• Internal Client Focus & Requirements Gathering: Act as a key liaison between our R&D, Portfolio Analysis and Platform and Data teams, deeply understanding their workflows, challenges, and evolving needs for data, research environments, backtesting capabilities, and analytical tooling. Translate these needs into clear, actionable product requirements, user stories, and specifications.
• Product Roadmap Contribution & Execution: Support the product roadmap for our quantitative data and platform services, ensuring alignment with the strategic goals of the quant team and the broader J.P. Morgan Asset Management business. Assist in prioritizing initiatives to maximize impact and efficiency.
• Cross-Functional Delivery: Collaborate closely with data engineering, software engineering, and infrastructure teams to facilitate the design, development, testing, and deployment of robust, scalable, and high-quality data products and platform enhancements.
• Data Ecosystem Enablement: Champion the accessibility, quality, and reliability of financial market data and derived analytics within our platform.
• Platform Innovation: Support the evolution of our quantitative platform, including tools for portfolio construction, simulation, performance attribution, and risk management, ensuring they meet the sophisticated demands of our internal users.
• Agile Product Management: Participate actively in an agile development process, helping to manage the product backlog, refine user stories, and ensure timely delivery of features.
• Stakeholder Communication: Clearly articulate product vision, updates, and dependencies to internal stakeholders, fostering transparency and alignment.
• Documentation & Knowledge Sharing: Contribute to the creation and maintenance of comprehensive documentation for platform features, data sources, and APIs to empower users and streamline onboarding.
• Industry & Technology Monitoring: Stay abreast of emerging trends, best practices, and new technologies in fintech, quantitative investing, data management, and platform development to inform product strategy.

What You Bring:

• Bachelor's degree in Computer Science, Engineering, Finance, Economics, Data Science, Mathematics, or a related quantitative or analytical field.
• 3 years of experience in product management, business analysis, data analysis, or a similar role, ideally within the wealth management, asset management, or fintech space.
• Strong analytical, problem-solving, and quantitative reasoning skills, with an ability to break down complex problems into manageable components.
• Excellent communication (written and verbal) and interpersonal skills, with a proven ability to collaborate effectively with technical and non-technical stakeholders.
• Experience in gathering and documenting requirements, and translating them into technical specifications.
• A solid understanding of data concepts (e.g., databases, data modeling, data pipelines, APIs, data quality frameworks) and familiarity with data query languages (e.g., SQL).
• A demonstrable passion for financial markets, investment management, and the application of technology and data to solve investment challenges.
• Proactive, self-motivated, and able to manage multiple tasks in a dynamic, fast-paced environment.

Nice to Haves:

• Exposure to financial data providers (e.g., Bloomberg, Refinitiv, FactSet) and their data offerings.
• Knowledge of Python or R for data analysis.
• Understanding of cloud computing environments (e.g., AWS, Azure, GCP).

Why Join Us?

• Impact: Play a vital role in building and enhancing the core data and technology infrastructure that powers sophisticated, tax-efficient investment solutions for our clients.
• Innovation: Be part of a company that values innovation and is committed to leveraging cutting-edge technology and quantitative methods.
• Collaboration: Work alongside a dedicated and talented team of quants, engineers, and product professionals in a dynamic and intellectually stimulating environment.
• Growth: Benefit from significant opportunities for professional development and career advancement in the rapidly evolving wealth tech industry.
• Culture: Join a firm that fosters a culture of ownership, continuous improvement, and a commitment to excellence.
• We offer competitive compensation, comprehensive benefits, and a commitment to work-life balance.