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Quantitative Research - Global Clearing - Associate
New York, NY, United States, US
·
On-site
·
Full-time
·
1w ago
Join our global Quantitative Research (QR) team, where you'll apply your expertise in Derivatives Modelling, Financial Engineering, Data Science, and Quantitative Development. As part of JP Morgan's leading QR Group, you'll innovate with unique analytics and mathematical models, enhancing business practices through automation. We develop advanced models and methodologies to support the Clearing business, utilizing the Athena quant platform for comprehensive trade and risk management across all asset classes.
Job Summary:
As an Associate in the Quantitative Research (QR) Global Clearing team, you will contribute to the FnO and OTC derivatives and Initial Margin (IM) agenda for QR Global Clearing. Additionally, you will play a role in advancing the strategic agenda to transform our investment bank into a data-led business, utilizing state-of-the-art machine learning techniques to promote change.
Job Responsibilities
- Leverage JPM internal derivatives library and models to deliver risk management solutions for FnO and OTC products.
- Drive projects end-to-end, from brainstorming and prototyping to production delivery. Partner with other Quant, Technology and Prod Dev to deliver QR analytics to the business.
- Develop novel IM and derivative models to improve existing coverage and risk quality.
- Independently manage Rates / Credit IM models
- Develop and deliver analytics that help transforming the business and contributing to the automation agenda.
- Develop and deliver ML/AI models and end-to-end solutions.
- Contribute to EOD or intraday hedging activities and algo design.
Required qualifications, capabilities, and skills
- Advanced degree (PhD, MSc or equivalent) in Mathematics, Physics or Computer Science.
- You have 3+ years of experience in a front office trading desk support position as a quant.
- You have knowledge of the FnO/OTC derivatives products and good understanding of risk/PnL.
- You demonstrate quantitative and problem-solving skills.
- You have strong coding skills (Python or C++), proficiency in code design and can navigate large libraries and quickly debug complex logics.
- You have excellent communication skills, both verbal and written, can engage and influence partners and business/non-Tech stakeholders.
- You are detail-oriented and can work on adhoc requests and can sometimes work under pressure.
- You are enthusiastic about knowledge sharing and collaboration.
Preferred qualifications, capabilities, and skills
- Knowledge of curve building, volatility surface calibrations, etc
- Knowledge of market risk and time-series analysis
- Knowledge of ML algorithms and experience in delivering AI models / end-to-end solutions
- Knowledge of Optimization and hedging algorithms
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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