JP Morgan Chase - Associate - Quant Modelling (3-4 yrs)

Quant Modelling - Associate

Job Description:

You are a strategic thinker passionate about driving solutions in Analytics and Data Science (CECL and CCAR Modelling) . You have found the right team. As an Associate in Quant Analytics within our MIS and Platforms team, you will be responsible for defining, refining, and achieving the set goals for our firm on a daily basis.

Job Responsibilities:

- Scope, prioritize and co-ordinate activities with Credit CFO Finance Team.

- Run the quarterly mortgage stress testing model (e.g., CCAR), create associated reporting & analytics, and present results to management.

- Run quarterly CECL reserve setting model and analyze key drivers of quarter-over-quarter variances.

- Actively help determine the loss forecasting results and drivers. This information will be presented to executive management and other internal clients.

- Lead advanced analyses to assess relationships and patterns driving loss performance.

- Perform ad-hoc analysis and gain comfort in credit costs results for credit risk leadership team and understand and explain modeled results from mortgage credit analytics.

- Actively interact with the Stress Testing Modelling team to understand, develop and enhance forecast frameworks for the mortgage business.

- Participate in cross-functional communications with Risk Management, Finance, Credit Risk Modelling Team.

- Design and develop data mining queries from large data sets (Both Structured and Unstructured). Experienced in conversion of data into information.

- Proficient in Visualization and storytelling which can make an impact to the business.

Required qualifications, capabilities and skills:

- Self-starter, attention to details and results orientated, able to work under minimal guidance.

- Uses pertinent data and facts to identify and solve a range of problems within area of expertise.

- Proficient in stress testing models/methodologies and CCAR scenario forecast.

- Hands on experience with pandas and Spark/PySQL stack. Experience on building data extraction pipelines and working with large data sets in a big data environment

- Experienced on SQL (Snowflake, Databricks), Python, MATLAB, R and Tableau. Having mandatory experience in exploratory and regression data analysis.

- Advanced degree in a quantitative discipline (e.g. Economics, Finance, Statistics). Different field of study, with significant professional experience in Analytics(CCAR/CCEL Modelling) is acceptable.

- Proficiency in Microsoft Word, Excel, PowerPoint, to clearly present analytical findings.

- Experience Required: Minimum 3 years with exposure to Fixed Income and/or Credit.

- Excellent communication skills - both written and oral - with the ability to communicate clearly and confidently with all levels of management.

- Strong collaborative, teamwork ethic. Utilize judgment and discretion in working with highly confidential information.

JP Morgan Chase, 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.

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