Quantitative Research Associate - Asset & Wealth Management

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As Quantitative Research Associate - Asset & Wealth Management in Asset and wealth management risk team, you will be part of 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 Asset and wealth management Risk System (Newton) used by Asset and wealth management Risk and Front Office stakeholders.

We are looking for an analyst to join and 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. 

Job responsibilities :

• Contribute to the research and enhancement of the risk methodology for Asset and wealth management Risk Analytics. The methodology covers sensitivity, stress, VaR, factor modeling, and Lending Value pricing for investment (market), counterparty (credit), and liquidity risk.

• 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.

• Assist with continuous improvements in our adopted Machine Learning 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 tools. 

• Prepare comprehensive model documentation for the Model Risk Governance and Review group to validate the models our team owns and uses, along with ongoing monitoring and back testing.

• 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.

Required qualifications, capabilities, and skills : 

• Minimum 2 yrs Data Scientist or equivalent role.

• A quantitative, technically proficient individual who is detail-oriented, able to multi-task, and work independently.

• Excellent communication skills.

Preferred qualifications, capabilities, and skills :

• A strong understanding of statistics, applied AI/ML techniques, and a practical problem-solving mindset. 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.
• Knowledge in modular programming in SQL, Python, ML, AWS Sagemaker and TensorFlow is preferred.
• A degree in a quantitative or technology field (Economics, Maths/Statistics, Engineering, Computer Science or equivalent) is preferred.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
   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.