Vice President of Trading Jobs
Vice President of Trading jobs are open across investment banks, hedge funds, asset management firms, and proprietary trading operations, at levels from director to managing director, with specializations in equities, fixed income, and derivatives trading. See the openings below and apply to the ones that match your experience.
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The Quantitative Trading & Research team developments quantitative models, algorithms, analytical capabilities and agentic workflows that improve how Cash Equities Sales teams engage with clients
Job Summary
As a Vice President in the Quantitative Trading & Research team, you will lead the development of quantitative models, algorithms, analytical capabilities and agentic workflows that improve how Cash Equities Sales teams engage with clients. You will set the research agenda and lead the transformation of complex data, including client flow and transactional data such as trades, orders, axes and IOIs, into relevant signals, client targeting and "who to call" recommendations, LLM-generated dynamic client content, trade ideas and post-trade opportunities, supporting inbound and outbound client workflows. You will be accountable for the research lifecycle from problem framing and data preparation through methodology, evaluation, production implementation and monitoring, partnering with senior stakeholders across Sales, Trading, Technology, Data and Product. You will use statistical methods, ML, LLMs and AI agents where they add value, and mentor junior team members.
Job Responsibilities
- Define and lead a research roadmap for Cash Equities Sales analytics, prioritizing problems by business impact in partnership with Sales and Trading leadership.
- Research, develop and validate models and algorithms for data processing, signal identification, client targeting, opportunity prioritization and Sales analytics.
- Construct reproducible research datasets and develop methods for extracting, enriching and interpreting structured and unstructured data, including Cash Equities flow and transactional data (executions, orders, axes, IOIs, blocks).
- Analyze client trading behavior, including flow patterns, sector and stock preferences, position changes, liquidity needs and trading style, to identify which clients to target, with which ideas, and when.
- Build "who to call" recommendation engines that rank clients for Sales coverage by combining flow signals, axes and liquidity, trade ideas and market events, with a clear rationale for each recommendation.
- Architect reusable executable analytical capabilities, including tools, skills and plugins, that encode research methods for use in Sales applications and AI-assisted workflows, and set standards for their design, testing and reuse.
- Lead the design, build and evaluation of agentic workflows that orchestrate these tools, data services and models to automate multi-step Sales tasks, such as client pre-call briefings, flow summaries, idea-to-client matching and inbound request handling, with appropriate guardrails, human-in-the-loop review and auditability.
- Develop dynamic, data-derived client content grounded in analytical insights, with clear source attribution and supporting rationale, for outreach and responses to inbound requests.
- Develop algorithms to generate trade ideas and identify post-trade opportunities using client positions, historical flow, objectives, product characteristics and market conditions, and match ideas, axes and liquidity to the most relevant clients.
- Define evaluation frameworks and success metrics, design experiments and benchmarks, compare approaches against baselines, and use error analysis and Sales feedback to drive measurable improvements in analytical quality, business impact and the reliability, accuracy and usefulness of agent outputs.
- Own production-quality analytical code and set engineering standards for testing, reproducibility, explainability and monitoring of model, agent and output performance.
- Partner with Sales and Trading to identify valuable research problems, and with Technology, Data and Product to integrate analytical capabilities and agentic workflows into shared platforms, retaining ownership of methodology and analytical logic while reusing existing data services and workflow infrastructure.
- Mentor and review the work of junior quants, promoting rigorous research practice and code quality.
- Ensure appropriate model governance, data controls and adherence to risk, compliance and change management requirements, including for AI and LLM-based components.
Required Qualifications
- 5+ years of relevant experience in quantitative research, data science or analytics, ideally within Equities at a bank, broker or buy-side firm.
- Expert Python and SQL skills, with a proven track record of developing modular, testable analytical software deployed and maintained in production.
- Strong quantitative foundations in probability, statistics, numerical methods, machine learning or related disciplines.
- Demonstrated delivery of models, algorithms or analytical techniques that solved real business problems with measurable commercial impact.
- Experience with Cash Equities, including client flow, execution data, axes/IOIs, block trading or market microstructure.
- Extensive hands-on experience working with complex datasets, including large-scale transactional or time-series data, data preparation, feature engineering, validation and reproducible analysis.
- Practical experience applying ML or LLMs in production, including content generation, retrieval-augmented generation (RAG), prompt design, evaluation and monitoring.
- Experience designing and evaluating agentic workflows (e.g. tool-calling agents, multi-step orchestration, planning and retrieval), including guardrails, evaluation harnesses and observability.
- Ability to design rigorous experiments, interpret results, diagnose failure modes and demonstrate measurable improvements.
- Advanced degree (PhD or Master's) in Mathematics, Statistics, Computer Science, Data Science, Physics, Engineering, Quantitative Finance or a related field.
- Ability to explain analytical methods, assumptions and trade-offs clearly to technical and non-technical stakeholders, including senior management.
- Proven ownership of research delivery end-to-end, with appropriate handling of confidential data and adherence to established risk and change controls.
Preferred Qualifications
- Experience with client portfolios or positions, Sales analytics, or trade-lifecycle opportunities.
- Experience analyzing financial or time-series datasets to identify actionable signals.
- Experience developing client targeting, recommendation or prioritization algorithms, or dynamic analytical client content with traceable sources.
- Experience integrating analytical code into applications or AI agents through reusable tools, skills, plugins or MCP interfaces.
- Experience leading or mentoring a team of quants or data scientists.
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.
The Quantitative Trading & Research team developments quantitative models, algorithms, analytical capabilities and agentic workflows that improve how Cash Equities Sales teams engage with clients
Job Summary
As a Vice President in the Quantitative Trading & Research team, you will lead the development of quantitative models, algorithms, analytical capabilities and agentic workflows that improve how Cash Equities Sales teams engage with clients. You will set the research agenda and lead the transformation of complex data, including client flow and transactional data such as trades, orders, axes and IOIs, into relevant signals, client targeting and "who to call" recommendations, LLM-generated dynamic client content, trade ideas and post-trade opportunities, supporting inbound and outbound client workflows. You will be accountable for the research lifecycle from problem framing and data preparation through methodology, evaluation, production implementation and monitoring, partnering with senior stakeholders across Sales, Trading, Technology, Data and Product. You will use statistical methods, ML, LLMs and AI agents where they add value, and mentor junior team members.
Job Responsibilities
- Define and lead a research roadmap for Cash Equities Sales analytics, prioritizing problems by business impact in partnership with Sales and Trading leadership.
- Research, develop and validate models and algorithms for data processing, signal identification, client targeting, opportunity prioritization and Sales analytics.
- Construct reproducible research datasets and develop methods for extracting, enriching and interpreting structured and unstructured data, including Cash Equities flow and transactional data (executions, orders, axes, IOIs, blocks).
- Analyze client trading behavior, including flow patterns, sector and stock preferences, position changes, liquidity needs and trading style, to identify which clients to target, with which ideas, and when.
- Build "who to call" recommendation engines that rank clients for Sales coverage by combining flow signals, axes and liquidity, trade ideas and market events, with a clear rationale for each recommendation.
- Architect reusable executable analytical capabilities, including tools, skills and plugins, that encode research methods for use in Sales applications and AI-assisted workflows, and set standards for their design, testing and reuse.
- Lead the design, build and evaluation of agentic workflows that orchestrate these tools, data services and models to automate multi-step Sales tasks, such as client pre-call briefings, flow summaries, idea-to-client matching and inbound request handling, with appropriate guardrails, human-in-the-loop review and auditability.
- Develop dynamic, data-derived client content grounded in analytical insights, with clear source attribution and supporting rationale, for outreach and responses to inbound requests.
- Develop algorithms to generate trade ideas and identify post-trade opportunities using client positions, historical flow, objectives, product characteristics and market conditions, and match ideas, axes and liquidity to the most relevant clients.
- Define evaluation frameworks and success metrics, design experiments and benchmarks, compare approaches against baselines, and use error analysis and Sales feedback to drive measurable improvements in analytical quality, business impact and the reliability, accuracy and usefulness of agent outputs.
- Own production-quality analytical code and set engineering standards for testing, reproducibility, explainability and monitoring of model, agent and output performance.
- Partner with Sales and Trading to identify valuable research problems, and with Technology, Data and Product to integrate analytical capabilities and agentic workflows into shared platforms, retaining ownership of methodology and analytical logic while reusing existing data services and workflow infrastructure.
- Mentor and review the work of junior quants, promoting rigorous research practice and code quality.
- Ensure appropriate model governance, data controls and adherence to risk, compliance and change management requirements, including for AI and LLM-based components.
Required Qualifications
- 5+ years of relevant experience in quantitative research, data science or analytics, ideally within Equities at a bank, broker or buy-side firm.
- Expert Python and SQL skills, with a proven track record of developing modular, testable analytical software deployed and maintained in production.
- Strong quantitative foundations in probability, statistics, numerical methods, machine learning or related disciplines.
- Demonstrated delivery of models, algorithms or analytical techniques that solved real business problems with measurable commercial impact.
- Experience with Cash Equities, including client flow, execution data, axes/IOIs, block trading or market microstructure.
- Extensive hands-on experience working with complex datasets, including large-scale transactional or time-series data, data preparation, feature engineering, validation and reproducible analysis.
- Practical experience applying ML or LLMs in production, including content generation, retrieval-augmented generation (RAG), prompt design, evaluation and monitoring.
- Experience designing and evaluating agentic workflows (e.g. tool-calling agents, multi-step orchestration, planning and retrieval), including guardrails, evaluation harnesses and observability.
- Ability to design rigorous experiments, interpret results, diagnose failure modes and demonstrate measurable improvements.
- Advanced degree (PhD or Master's) in Mathematics, Statistics, Computer Science, Data Science, Physics, Engineering, Quantitative Finance or a related field.
- Ability to explain analytical methods, assumptions and trade-offs clearly to technical and non-technical stakeholders, including senior management.
- Proven ownership of research delivery end-to-end, with appropriate handling of confidential data and adherence to established risk and change controls.
Preferred Qualifications
- Experience with client portfolios or positions, Sales analytics, or trade-lifecycle opportunities.
- Experience analyzing financial or time-series datasets to identify actionable signals.
- Experience developing client targeting, recommendation or prioritization algorithms, or dynamic analytical client content with traceable sources.
- Experience integrating analytical code into applications or AI agents through reusable tools, skills, plugins or MCP interfaces.
- Experience leading or mentoring a team of quants or data scientists.
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.
See All 29 Vice President of Trading Jobs
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Find JobsVice President of Trading Job Market
Who's Hiring
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
What Employers Look For
The qualifications that appear most often in vice president of trading jobs.
- Minimum seven to ten years of progressively senior trading desk experience
- Deep expertise in one or more asset classes such as equities, fixed income, or derivatives
- Demonstrated experience managing a trading book and overseeing risk limits
- FINRA Series 7 and Series 24 licenses, or ability to obtain them
- Strong quantitative skills and proficiency with trading platforms and risk management systems
- Bachelor's degree in finance, economics, mathematics, or a related field, with an MBA or CFA preferred
Tips for Your Vice President of Trading Job Search
Quantify your P&L and risk metrics
Hiring managers at the VP level expect concrete numbers on your resume. Break out the book size you managed, the asset classes you traded, and your risk-adjusted returns across different market conditions. Vague descriptions of oversight won't move you past the first screen.
Target firms by asset class fit
A fixed income background doesn't translate cleanly to an equities desk, so filter openings by the specific product area first. Reading the job description for the instruments, tenor, and market structure helps you rule out poor fits before applying and tailor your materials precisely.
Apply early to roles that fit
Migrate Mate lists vice president of trading openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a live trading case
Many firms include a markets simulation or a desk-scenario exercise where you price a trade, manage a risk limit breach, or respond to a sudden volatility spike. Practice narrating your decision logic out loud, not just reaching the right answer, since the desk wants to hear how you think.
Negotiate total comp, not just base
At the VP level, guaranteed bonus, deferred compensation schedules, and capital allocation terms often matter more than base salary. Before your final conversation, understand the firm's typical payout structure and ask specifically about the split between guaranteed and discretionary components.
Follow up with a markets-specific note
After an interview, send a brief note that references a market development relevant to the desk, not a generic thank-you. Connecting your follow-up to current conditions in rates, credit, or the specific product you discussed signals ongoing engagement and reinforces your fit for the role.
Vice President of Trading Jobs: Frequently Asked Questions
Which companies are hiring the most vice president of tradings?
JPMorganChase, Citi, and Information Technology Senior Management Forum are hiring the most vice president of tradings right now, with openings concentrated in New York, New Jersey, and Florida, based on current listings on Migrate Mate as of November 2026. Financial hubs with large institutional trading operations tend to generate the most consistent demand for this role.
How many vice president of trading jobs are remote?
About 60% of vice president of trading openings are fully remote or hybrid as of November 2026, which is lower than many other finance roles. Strategy, oversight, and risk reporting functions within trading tend to offer the most flexibility, while active execution desks almost always require on-site presence during market hours.
How do you become a vice president of trading?
Most vice presidents of trading start as analysts or associates on a trading desk, build expertise in a specific asset class over several years, and progress by taking on larger books and demonstrating consistent risk-adjusted performance. Earning relevant FINRA licenses, developing strong relationships across sales and structuring, and moving into team leadership roles are the typical steps before reaching the VP level.
Can you get a vice president of trading job without prior VP-level experience?
Yes, it's possible to step into a vice president of trading role for the first time if you have a strong record as a director or senior trader with demonstrated leadership. Firms are most likely to make that move for candidates who have already managed junior traders, owned a significant portion of a desk's risk, or led a product build-out within their current team.
What does the vice president of trading interview process look like?
The process typically begins with a recruiter screen focused on your asset class background and book size, followed by one or two rounds with desk heads and risk officers covering your trading philosophy, risk management approach, and market views. Many firms then include a live markets exercise or case study before a final conversation with senior leadership about culture fit and strategic direction.
Where can I find and apply to vice president of trading jobs?
You can find and apply to vice president of trading jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your asset class background and experience level, then apply directly to each one that fits.
See All 29 Vice President of Trading Jobs
Find roles that match your experience and apply in just a few clicks.
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