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求人JPMorgan Chase

Credit Portfolio Group - Quantitative Research - Associate

JPMorgan Chase

Credit Portfolio Group - Quantitative Research - Associate

JPMorgan Chase

New York, NY

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On-site

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Full-time

·

Today

The Credit Portfolio Lending Group (CPG) is a public-side global function with approximately 25 Portfolio Management and Trading professionals across New York, London, and Singapore, and is part of the Markets function within the Commercial & Investment Bank (CIB). CPG has two primary functions: Portfolio Management & Research (PM&R), which is aligned by industry and geography, and Trading & Distribution (T&D), which uses both liquid and illiquid channels to risk manage the book. The priority of the group is to manage the retained credit portfolio, focusing on concentrated exposures (company-specific, industry, or geographical concentrations) while balancing the competing priorities of minimizing cost, P&L volatility, and capital usage. Portfolio Managers and Researchers work with Traders to determine appropriate strategies to manage the portfolio, achieved primarily via the secondary loan market, the CDS market, and through structured solutions.

The Quantitative Research (QR) function supporting CPG is responsible for developing and maintaining models for valuation, risk, and P&L calculations, as well as building analytics, portfolio monitoring tools and algorithms that support CPG's activities. Responsibilities span the full lifecycle from new model specification and approval through to implementation in libraries and integration into risk and P&L systems.

Job Summary

We are seeking a diligent, quantitative, self-motivated, and outgoing individual to join the Credit Portfolio Group in New York in a Quantitative Research capacity. In this role, you will serve as the primary quant for CPG delivering cutting-edge tools and models that enhance the group's portfolio management, trading, and distribution capabilities. There will be a particular emphasis on leveraging AI, large language models (LLMs), and generative AI agents to design and implement market-based tools that provide the desk with a quantitative edge, accelerate automation, and improve decision-making across the credit portfolio.

Job Responsibilities

  • Design, build, and deploy AI, LLM, and generative AI agent-based tools to support CPG trading workflows, including automated market analysis, credit curve maintenance, trade idea generation, and portfolio risk monitoring
  • Explore and implement machine learning techniques to enhance market-making algorithms, quoting tools, and portfolio optimization strategies
  • Stay at the forefront of emerging AI capabilities and identify practical applications that can be embedded into the desk's daily operations
  • Leverage the vast amount of data available across the credit portfolio to proactively identify opportunities, concentrated exposures, and optimal hedging strategies for the desk
  • Collaborate with model control teams to facilitate timely and efficient review and approval of all models, ensuring compliance with internal policies and industry regulations
  • Automate trading desk daily risk and position reports, streamlining workflows to accelerate the broader automation & digital transformation agenda across CPG
  • Build and enhance trade support and automation infrastructure for portfolio hedging strategies, credit curve reconciliation, and loan sale execution
  • Interact with other sub-teams within Markets QR to explore synergies and share best practices

Required Qualifications, Capabilities, and Skills

  • An advanced degree in mathematics, statistics, physics, financial engineering, computer science, or an equivalent subject
  • At least 4 years of experience in a quantitative research, markets, or analytics-focused role supporting a fixed income, credit, or lending desk
  • Hands-on experience building and deploying AI agents, machine learning or LLM based applications, with demonstrated ability to apply these technologies to financial markets or trading desk workflows.
  • Hands-on experience in portfolio optimization, familiar with related software and tools
  • Strong software design and data science skills, with Python experience
  • Exceptional analytical, quantitative, and problem-solving skills with an intellectual curiosity and passion for credit markets and investing.
  • Excellent written and verbal communication skills, with the ability to convey complex quantitative concepts to both technical and non-technical stakeholders.
  • Ability to work in a high-pressure, collaborative team environment with strong attention to detail and a focus on quality of deliverables

ABOUT US

JPMorgan 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 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 TEAM

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.

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JPMorgan Chaseについて

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

従業員数

New York City

本社所在地

$500B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

3.5

報酬

4.0

企業文化

3.8

キャリア

3.2

経営陣

2.8

68%

友人に勧める

良い点

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

改善点

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

給与レンジ

44件のデータ

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2件のレポート

$188,500

年収総額

基本給

$145,000

ストック

-

ボーナス

-

$182,000

$195,000

面接体験

4件の面接

難易度

3.0

/ 5

期間

14-28週間

内定率

50%

体験

ポジティブ 25%

普通 75%

ネガティブ 0%

面接プロセス

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

よくある質問

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study