招聘
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Mental Health
•Learning Budget
•Healthcare
•401k
•Equity
•Mental Health
•Learning
Required Skills
C++
Python
Machine learning
Statistical analysis
Derivatives pricing
Monte-Carlo simulation
Finite-difference PDE
The Quantitative Trading & Research (QTR) Equity Derivatives team is looking for a junior quant to focus on exotic products. The objective is to drive and implement analytics, optimization and modeling for Equity Exotic trading, with immediate focus on building robust trade booking, analytics and model validation layers.
Job Summary:
As an Associate for the Equity Derivatives Exotics QTR team, you will make extensive use of quantitative techniques, including machine learning, to deliver end-to-end solutions for the business. This includes introducing a systematic framework to develop derivative products, strengthen risk and P&L control and facilitate lifecycle management, developing derivative pricing and lifecycle models, as well as identifying and monitoring associated model risks. It is particularly important for this role, that you are a disciplined developer, adhering to the highest standard of development, testing, deployment life cycle, working with the broader QTR team and with technology.
Job responsibilities:
- Develop a framework and key components to develop derivative products including life cycling and model validation, using dependency-graph programming and Python language.
- Model derivative products using C++ - Python hybrid programming to meet business requests.
- Drive payoff innovation using the product design framework and machine learning techniques.
- Streamline product review under the product design framework and provide clear model documentation to facilitate model approvals.
- Evaluate quantitative methodologies including identifying and monitoring model risks associated with derivative valuation models.
- Support trading activities by explaining model behavior, identifying major sources of risk in portfolios and carrying out scenario analyses.
Required qualifications, capabilities, and skills:
- Master or PhD degree in a quantitative field from a top university.
- 3+ years of experience in derivatives quantitative research.
- Strong programming skills in C++, Python and numerical packages
- Experience with statistical analysis and machine learning.
- Experience with derivatives pricing models and equity derivatives products.
- Solid understanding of the application of Monte-Carlo simulation and finite-difference PDE in derivative pricing.
- Ability to communicate effectively with business stakeholders.
- Prior experience in a front-office quantitative research role.
- Experience or good knowledge in dependency-graph programming.
Preferred qualifications, capabilities, and skills:
- Knowledge of risk management frameworks and regulatory requirements.
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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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.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
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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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