Quantitative Trading & Research - SPG - Associate

Posted 4 Days Ago
Be an Early Applicant
New York, NY, USA
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Develop, validate, and maintain RMBS prepayment and credit/default models; perform large-scale data processing and ML analysis; build analytics platforms and monitoring tools; support valuation, hedging, risk assessment, model review, and client/internal training.
Summary Generated by Built In

The Securitized Products Group (SPG) Quantitative Trading & Research (QTR) team is a high-performing quantitative modeling organization focused on Residential Mortgage-Backed Securities (RMBS) and related structured products. The group develops and maintains agency and non-agency RMBS models and analytical tools used to support CIB trading and research. These prepayment and credit/default models also support RMBS and mortgage loan valuation and risk management across JPMorganChase, including the Mortgage Bank, Chief Investment Office, and Asset & Wealth Management. Selected analytics are delivered to external clients via OASis and BondStudio.

Job Summary:

As an Associate in the Securitized Products Group (SPG) Quantitative Trading & Research Team (QTR), you will sit within the non-agency RMBS modeling team and partners closely with SPG trading desks to support modeling, valuation, market-making, and risk assessment. You will help drive the modernization of credit modeling by applying machine learning and generative AI across the model development lifecycle, including data processing and exploration, model calibration, performance monitoring, and delivery of analytics and reporting tools. You will collaborate with stakeholders across business, technology, market risk, and other partner teams to develop new models and enhance existing capabilities, improve understanding of model behavior and trading insights, ensure robust model infrastructure and controlled usage, and provide subject matter expertise, training, and guidance to internal users and external clients.

Job 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.

 

Required Qualifications, Capabilities, and Skills:

 

  • 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.
About Us
JPMorganChase, 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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

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.

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

About the TeamJ.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. 

Skills Required

  • Master's or PhD degree in a quantitative field.
  • Advanced modeling skills in machine learning, statistical, or econometric models (financial applications preferred).
  • Strong programming skills in Python; familiarity with C++ is a plus.
  • Proficiency with statistical Python packages (NumPy, Pandas, StatsModels, scikit-learn, SciPy).
  • Experience working with large-scale databases (e.g., PostgreSQL, Redshift) for ML analysis and modeling.
  • Experience analyzing mortgage and loan performance datasets (prepayment and credit historical data) at loan or facility level.

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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