Jobs

Product Manager - Futures Algorithmic Trading – Associate
New York, NY, United States, US
·
On-site
·
Full-time
·
1mo ago
Required skills
Python
Description
Join our Futures Execution Product team to lead product management initiatives in algorithmic trading.
As an Associate in the Futures Execution Product team, you will play a pivotal role in shaping the future of algorithmic trading products. This position offers a unique opportunity to leverage your analytical skills and technical proficiency to deliver innovative solutions to our clients. You will collaborate with cross-functional teams and engage directly with clients to enhance their trading experience. Join us to drive product evolution and make a significant impact in the world of futures trading.
As an Associate in the Futures Execution Product team, you will be instrumental in delivering cutting-edge algorithmic trading solutions to institutional clients. You will work closely with business partners across the Global Futures Sales and Trading organization to understand client needs and provide tailored solutions. Your role will involve producing in-depth analysis of product usage and trading performance, ensuring adherence to regulatory requirements, and maintaining a strong knowledge of futures trading and analytics.
Job Responsibilities:
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Define and lead product management initiatives across the algorithmic & analytics trading product suite.
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Interact with clients to understand their needs and offer J.P. Morgan’s Futures algorithmic product suite solutions.
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Partner with business analysts, core technology, legal/compliance, operations, and sales and trading teams to optimize product functionality.
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Produce in-depth analysis of product usage, client trends, and trading performance.
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Leverage analytical skills to analyze large data sets and provide actionable results.
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Maintain a working knowledge of futures trading and associated analytics.
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Ensure adherence with all relevant regulatory and control agenda requirements.
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Be an integral member of the Futures Execution Product team, working together to provide a positive client experience.
Required Qualifications, Capabilities, and Skills:
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Bachelor's degree in Finance, Economics, Mathematics, Engineering, Computer Science, or related quantitative field.
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3+ years of electronic trading experience.
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Exceptional written and verbal communication skills.
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Strong quantitative and analytical skills.
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Experience in Q/kdb and Python.
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Ability to interact with clients professionally and maturely.
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Technical experience with data and analytics reporting platforms.
Preferred Qualifications, Capabilities, and Skills:
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Experience in futures trading and algorithmic execution.
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Familiarity with global futures markets.
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Ability to produce TCA analysis and execution consultations.
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Strong cross-functional relationship-building skills.
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Innovative problem-solving abilities.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan 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+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
3.8
Career
3.0
Management
2.5
65%
Recommend to a friend
Pros
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
Salary Ranges
41 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1 reports
$139,000
total per year
Base
$107,000
Stock
-
Bonus
-
$139,000
$139,000
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 20%
Neutral 80%
Negative 0%
Interview process
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
Common questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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