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

Columbus, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jun, 26

Salary

0.0

Posted On

29 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Artificial Intelligence, Model Development, Risk Modeling, Scenario Analysis, Deep Learning, Generative AI, Reinforcement Learning, Econometrics, Statistics, Python, NumPy, Scikit-learn, Pandas, PyTorch

Industry

Financial Services

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 part of the Investment Risk & Analytics team, you are at the center of keeping JPMorgan Chase strong and resilient. 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 drive insights, automate processes, and support strategic decisions. * Lead and collaborate on the end-to-end lifecycle of AI/ML initiatives, including data engineering, model development, validation, deployment, and monitoring. * Conduct risk modeling, scenario analysis, and business impact evaluations to ensure robust, ethical, and goal-aligned solutions. * Experiment with advanced techniques like deep learning, generative AI, and reinforcement learning to solve business challenges. * Apply advanced statistics, econometrics, and mathematical skills for modeling and analysis. * Work with Technology teams on model testing, implementation, and production. * Mentor junior data scientists and foster a collaborative culture. * Present modeling results to business and technical stakeholders in written, visual, and oral formats. * Stay updated on AI and machine learning trends and assess their organizational impact. * Contribute to process innovation and team strategy within the asset-class group. * Represent risk analytics in governance forums, risk committees, and audits, and partner with risk groups to address multiple risk impacts. Required qualifications, capabilities, and skills * 5+ years of hands-on experience in data science, machine learning, or AI. * Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics * 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. * Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. * Foundational mathematical concepts, including continuity, differentiability, Taylor formulas, differential equations, integration, measure theory, linear algebra, discrete and continuous probabilities, Markov chains, regression. * 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 a global team. Preferred qualifications, capabilities, and skills * Relevant STEM field is highly preferred. 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 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. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans 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 to drive insights, automate processes, and support strategic decisions related to investment risk. Responsibilities also include leading the end-to-end lifecycle of AI/ML initiatives and conducting risk modeling and scenario analysis.