Investment Risk & Analytics - Quant Modeling Associate at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, AI, Generative AI, Statistical Methods, Probability Theory, Linear Algebra, Investment Products, Python, Data Visualization, Quantitative Skills, Analytical Skills, Collaboration, Model Development, Risk Modeling, Deep Learning

Industry

Financial Services

Description

Wealth Management (WM) Investment Risk & Analytics (IR&A) is responsible for the risk oversight of the Managed Strategies from end to end across the WM’s Private Bank and Consumer Bank businesses. Managed Strategies included JPMorgan’s own proprietary products and third-party funds to include registered funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds, etc. We are looking for individuals who can partner with senior members of our team to oversee business activities, models and methodologies related to investment risk. with an emphasis on developing new tools and methodologies that will aid in risk quantification. Job responsibilities: Design, develop, and deploy advanced AI/ML models to derive actionable insights, automate processes, and facilitate strategic decision-making across various business units. Collaborate with teams to design and oversee the end-to-end lifecycle of AI/ML initiatives – from problem scoping, data engineering, model development, validation, deployment, to monitoring. Lead the model development process, including tasks such as data wrangling/analysis, model training, testing, and selection. Conduct risk modeling, scenario analysis, and business impact evaluations to ensure AI/ML solutions are robust, ethical, and aligned with organizational goals. Drive experimentation with advanced techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to solve complex business challenges and create value. Collaborate with Technology on model testing, implementation, and production. Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders. Stay abreast of emerging trends and research in AI and machine learning, and assess their potential application within the organization. Represent risk analytics in governance forums, risk committees, and audit discussions. Participate in regulatory and validation exams by providing documentation and responses to regulators and internal validators. Partner with non-credit risk groups to identify and understand the simultaneous impact of multiple risks, such as product, fiduciary, counterparty, concentration, ESG/climate, liquidity, and their effect on investments. Required qualifications, capabilities, and skills 3+ years of hands-on experience in data science, machine learning, or AI. Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field is highly preferred. Demonstrated experience with generative AI technologies such as transformers, large language models, or diffusion models. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning (e.g., ensemble methods, NLP, time-series), Probability Theory and Linear Algebra. Have experience with investment products including fixed income, equity, and mutual funds. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.). Experience with data visualization tools such as Tableau, Power BI, or similar. Logical thought process, ability to scope out an open-ended problem into data driven solution. Strong quantitative and analytical skills and ability to work with diverse cultures in a global team. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Responsibilities

The role involves designing, developing, and deploying advanced AI/ML models for investment risk quantification and decision-making. It also includes collaborating with teams on the lifecycle of AI/ML initiatives and conducting risk modeling and scenario analysis.