Risk Management - Asset Wealth - Risk Analytics - Data Scientist, Associate

Posted 4 Days Ago
New York, NY
Hybrid
Junior
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Data Scientist in the Asset Wealth Risk Analytics team, you'll develop and maintain risk measurement methodologies, leverage data science and machine learning to enhance analytics processes, and improve the AWM Risk System. You will work with stakeholders to identify opportunities for risk analytics and be involved in the analysis of large data sets while contributing to risk methodology research.
Summary Generated by Built In

Job Description
JPMorgan Asset & Wealth Management (AWM) Risk is seeking a dynamic data science professional with quantitative analysis skills to join our Risk Analytics team. This team, a part of AWM Risk 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.
As a Data Scientist in the Asset Wealth Risk Analytics team you'll partner with senior members of our team to embark on a journey of innovation to introduce and scale up data-driven risk analytics solutions through data science and machine learning techniques to transform our operations and business processes, strengthening the core value proposition of our system and expanding flexible analytical capabilities for the growth of Newton's platform. We offer a vibrant and inclusive workplace that benefits from the perspectives and talents of our diverse team. We encourage open dialogue and professional growth. Join us and be a part of a global organization that is redefining the world of asset and wealth management.
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 artificial intelligence/machine learning (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 large language models (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, value at risk (VaR), factor modeling, and Lending Value pricing for investment (market), counterparty (credit), and liquidity risk.
Required qualifications, capabilities, and skills
• 2+ years 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.
• Effective communication skills to clearly explain complex concepts.
• A strong understanding of statistical models, applied AI/ML techniques, and a practical problem-solving mindset.
• Knowledge in modular programming in SQL, Python, ML, AWS Sagemaker, TensorFlow, Bitbucket, GitHub 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)
Same Posting Description for Internal and External Candidates
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 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 for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
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.

Top Skills

Python
SQL

What the Team is Saying

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The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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