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About the Role

As an Associate in the Securitized Products Group (SPG) Quantitative Trading & Research Team (QTR), you will partner closely with SPG trading desks to support modeling, valuation, market-making, and risk assessment. You will drive the modernization of credit modeling by applying machine learning and generative AI across the model development lifecycle. Collaborate with stakeholders to develop new models, enhance existing capabilities, improve understanding of model behavior, ensure robust model infrastructure, and provide subject matter expertise to internal users and external clients.

Responsibilities

Develop and support advanced financial models for RMBS, enabling business portfolio management, trading, hedging, and risk assessment.
Conduct model back-testing, performance tracking, and provide business insights to inform portfolio management and trading strategies.
Perform large-scale data queries, processing, and machine learning (ML) analysis for RMBS prepayment and credit modeling using high-quality calibration data.
Build and optimize robust platforms for large-scale data analysis to support various modeling initiatives.
Develop new models and analytical tools, and implement them within our advanced, high-performing mortgage loan/bond pricing and analytics framework.
Design and implement analytical tools to monitor model performance and market conditions in Residential Mortgage-Backed Securities (RMBS), enhancing business decision-making processes.
Oversee the maintenance and enhancement of existing infrastructure used for valuation and hedging of financial transactions.
Provide support to internal and external clients regarding model usage, addressing inquiries and facilitating training as needed.
Collaborate closely with risk and model review groups to ensure proper model usage, conduct model reviews, and implement effective risk controls.

Requirements

Strong quantitative educational background: Master’s or PhD degree in a quantitative field.
Advanced modeling skills in developing machine learning (ML), statistical, or econometric models, preferably with applications in financial fields.
Strong programming skills in Python (C++ is a plus).
Proficiency in statistical Python packages such as NumPy, Pandas, and stats packages (StatsModels, scikit-learn, SciPy, etc.) for data manipulation and statistical analysis.
Experience working with large-scale databases (e.g., PostgreSQL, Redshift) for machine learning analysis and modeling is desirable.
Experience in data analysis focused on mortgage and loan performance datasets, specifically analyzing prepayment and credit historical data at the loan or facility level, is desirable.

Skills

Machine Learning (ML)
Statistical Modeling
Econometric Modeling
Python
C++
NumPy
Pandas
StatsModels
scikit-learn
SciPy
Large-scale database querying
Data manipulation
Statistical analysis
Mortgage and loan performance dataset analysis
Prepayment analysis
Credit historical data analysis

Location

Onsite

Work Type

Full-time

Experience Level

Associate

Education Level

Master's degree
PhD degree

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

About the Company

JPMorganChase is one of the oldest financial institutions, offering 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.
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments.
Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries.
The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Equal Opportunity

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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans