Wholesale Credit Quantitative Research, Data – Associate
Mumbai
Posting Description
We are looking for an experienced Data Analyst to join our team in Mumbai, India. The Wholesale Credit Data QR team’s mission is to design, analyze, deliver firm-wide Data to support the firm’s Wholesale Credit Stress (CCAR, ICAAP, Risk Appetite) and Loan loss reserves models. In particular, for this role, the team focuses on Data model definition, evolution of Data Dictionary to enable deep dive Data Analysis and Analytical explorations. The successful candidate will work on the evolution of our frameworks, underlying Data platforms and related tools to enhance ease of integration of pricing and forecast models, improve flexibility and extendibility of the framework as well as improve scalability and performance. This will require the candidates to work with other more experienced Wholesale Credit model developers and business partners and enhance their quantitative as well as business skills.
Job Description
The successful candidate will 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
Perform data analysis to support model development and analytics
Liaise with various lines of business and risk modelers, thoroughly understand various models for BASEL, CCAR, CECL and other credit risk models
Work with multiple stakeholders to elicit, analyze, refine and document business process and data requirements
Collaborate through the entire Software Development Life Cycle (SDLC) including planning, analysis and testing of new applications and enhancements to existing applications
Perform user acceptance testing and deliver demos to stakeholders by SQL queries or Python scripts
Required qualifications, capabilities, and skills
We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role.
Bachelor’s or Master’s in Computer Science, Data Analytics or equivalent discipline
Data Analysis and data manipulation skills using SQL , Python & MS Excel is Required
Strong analytical skills in forecasting and interpreting results and comfortable working with large quantities of data
Ability to solve problems creatively while working in a dynamic and challenging environment under tight deadlines
Eagerness to learn about Credit Risk, Risk Parameters, Regulatory and Accounting concepts
Detail oriented and strong organizational skills. Excellent communication abilities, both written and oral
Experience implementing analytics frameworks in finance . Experience with source control, automated build/test systems, code coverage, unit testing and release processes
Preferred qualifications, capabilities, and skills
The following additional items will be considered but are not required for this role
Data Visualization tools like Tableau, Qlik View, Power BI etc is nice to have
Experience implementing, integrating and deploying financial models end-to-end
Knowledge of Wholesale Credit, CCAR, Allowance (IFRS 9/CECL), Basel II/III regulatory capital
Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations
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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.
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