#210585975
Management, is a diverse group of innovative quantitative and market risk-oriented professionals. Our responsibility is to develop and maintain risk measurement methodologies and perform analytics calculations. We also own and continuously develop the AWM Risk System (Newton) used by AWM Risk Management and Front Office stakeholders.
Job responsibilities :
• Work with peers and stakeholders to identify use cases and opportunities for Data Science to create value. Use your knowledge of Computer Science, Statistics, Mathematics and Data Science techniques to provide further insights into security and portfolio risk analytics.
• Lead continuous improvements in our adopted AI/ML and statistical technics used in our data and analytics validation process.
• Collaborate, design, and deliver solutions that are flexible and scalable using the firm's approved new technologies and tools, such as AI and LLMs. Use citizen developer journey platform to find efficiencies in our processes.
• Contribute to the analysis of new and large data sets and assist with their onboarding, following our best practice data model and architecture using big data platforms.
• Contribute to the research and enhancement of the risk methodology for AWM Risk Analytics. The methodology covers sensitivity, stress, VaR, factor modeling, and Lending Value pricing for investment (market), counterparty (credit), and liquidity risk.
Required qualifications, capabilities, and skills
• Minimum 6months experience as a Data Scientist or in an adjacent quantitative role.
• A quantitative, technically proficient individual who is detail-oriented, able to multi-task, and work independently.
• Excellent communication skills.
• A strong understanding of statistics, applied AI/ML techniques, and a practical problem-solving mindset.
• Knowledge in modular programming in SQL, Python, ML, AWS Sagemaker, TensorFlow or alike.
Preferred qualifications, capabilities, and skills :
• Practical experience in financial markets in a quantitative analysis/research role within Risk Management, a Front Office role, or equivalent is a plus.
• Knowledge of asset pricing, VaR backtesting techniques, and model performance testing is a plus.
• A degree in a quantitative or technology field (Economics, Maths/Statistics, Engineering, Computer Science or equivalent) is preferred.
ABOUT US
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.
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're setting our businesses, clients, customers and employees up for success.