Quantitative Research Production Associate

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 a Quantitative Research Wholesale Credit Risk - Associate within our data processing and forecasting team, you will be instrumental in delivering results for the wholesale loans and commitment portfolio to meet various requirements. You will execute and deliver quarterly stress forecasting results, perform portfolio analysis, and work in an Agile framework to develop data and system requirements. You will also have the opportunity to define data models, understand the implementation of the forecasting architecture, and liaise with technology partners to enhance the forecasting process. This role provides an excellent opportunity to apply your data analysis and manipulation skills using SQL, Python & MS Excel, and to work in a high-pressure, deadline-oriented environment.

Job responsibilities
 

• Execute and deliver the quarterly stress forecasting results with focus on data needs
• Perform portfolio analysis, data segmentation, data transformation and database interaction to prepare various datasett
• Work in an Agile framework to write business requirements in the form of JIRA epics & user stories to develop data and system requirements for credit risk modelling  platform
• Define data models , metadata and data dictionary that will enable data analysis and analytical explorations
• Understand the implementation of the forecasting architecture, systems and dataflow
• Identify issues and streamline data flow from acquisition to results production
• Support the strategic build-out of stress testing workflow/dataflow for future initiatives
• Liaise with technology partners and LOBs to improve and enhance the forecasting process
• Help to plan and perform for all production/testing needs
• Perform control and reconciliation against deliveries in addition to creating/enhancing formal governance. Revise the heading to 'Job responsibilities'.

Required qualifications, capabilities, and skills

• At least 3 years of experience working in Wholesale Risk Management, Corporate Finance, Data Analytics
• Must be familiar with the software development lifecycle
• Data Analysis and data manipulation skills using SQL , Python & MS Excel is Required
• Coding knowledge and experience in Python/SQL is required
• Understanding of big-data analytics and strategic data synthesis
• Ability to organize work and solve problems independently and excel in a high-pressure, deadline oriented environment.
• Excellent written and verbal communication skills, ability to engage and work with internal and external stakeholders
• Tableau and data visualization 
• Familiarity with Traditional Credit Products (Loans, Letter of Credit, Stand by Letter of Credit, Syndications etc.
• Experience with wholesale loans and commitments product and systems, as well as its data flows
• Master degree CFA  BA BS degree required 

JPMorgan Chase & Co., 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.