below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$195,000–$273,320.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
The Asset Management - Investment Platform Trading Analytics & Strategy (GFICC) - Executive Director joins the Trading Research team to lead strategy and automation across GFICC asset classes. This role involves leading cross-functional projects, providing execution consultancy to clients, and working directly with traders to automate workflows for liquidity-constrained instruments like credit and securitized products. Key responsibilities include conducting quantitative research into market microstructure and price formation, building dashboards for transaction cost analysis, and developing statistical frameworks for order routing. The position requires proficiency in Python using pandas, NumPy, and matplotlib, alongside experience with tick-level market data and Git. Candidates must possess deep knowledge of fixed income and FX market dynamics, algorithmic execution, and applied machine learning techniques to solve complex problems regarding market impact and transaction costs.
Automate trading workflows to reduce manual intervention and improve execution speed for bespoke instruments.
Lead research into market microstructure and price formation to identify actionable trading signals.
Develop statistical frameworks to optimize execution timing, venue selection, and order routing.
Provide data-driven consultancy to traders and portfolio managers on balancing market impact and transaction costs.
Build and maintain dashboards and TCA frameworks to provide transparency into trading performance and slippage.
Coordinate with technology and trading teams to define requirements and deliver end-to-end analytics solutions.
Translate complex quantitative outputs into actionable recommendations for non-technical business stakeholders.
What we're looking for
Strong hands-on experience with Python for quantitative research, including pandas, NumPy, and performance-oriented coding practices.
Demonstrated ability to work with tick-level and transactional market data using high-performance query tools and financial databases.
Solid understanding of fixed income and FX market microstructure, execution dynamics, and liquidity provisioning.
Practical knowledge of algorithmic execution, smart order routing, and quantitative drivers of transaction costs in fixed income or currency markets.
Proven ability to translate complex quantitative outputs into clear, actionable recommendations for non-technical audiences.
Experience working in team-based development environments using version control systems (Git) and structured code review processes.
Familiarity with ML techniques relevant to trading research, including supervised/unsupervised learning, reinforcement learning, or NLP applied to financial data.
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