Product Manager – Algorithmic Trade Execution

Posted 18 Days Ago
2 Locations
Remote
Junior
Artificial Intelligence • Fintech • Software • Analytics • Financial Services
The Role
Drive the development of execution analytics and smart order routing technology, collaborating with quant researchers and institutional clients to optimize trade performance.
Summary Generated by Built In

Product Manager – Algorithmic Trade Execution

Location: New York, NY (In-Person)
Company: Blockhouse
Job Type: Full-Time (40+ hours / week)

About Blockhouse

Blockhouse is redefining trade execution through cutting-edge quantitative research and execution algorithms. Our success stems from a data-driven approach to optimizing execution, blending sophisticated market microstructure modeling, smart order routing (SOR), and transaction cost analysis (TCA) to improve trade performance across equities, fixed income (rates), and crypto markets.

We are seeking a Product Manager – Algorithmic Trade Execution to drive the development of our execution analytics and smart order routing technology. This role requires a deep understanding of trading workflows, execution algorithms, and transaction cost analysis to shape the product roadmap and ensure adoption by institutional clients.

What You’ll Do

  • Define and execute the product roadmap for execution algorithms, transaction cost analysis (TCA), and smart order routing (SOR) technology.

  • Work closely with quant researchers and developers to translate execution research into deployable products.

  • Collaborate with institutional clients to understand execution needs and refine product functionality.

  • Define key performance metrics (slippage, market impact, execution quality) and ensure the product delivers measurable improvements.

  • Manage integrations with execution management systems (EMS), order management systems (OMS), and market data providers.

  • Own the user experience for clients, ensuring seamless trade data ingestion, execution backtesting, and performance reporting.

  • Drive go-to-market efforts for execution analytics, ensuring product positioning aligns with client needs.

What We’re Looking For

  • 2+ years of experience in product management within electronic trading, execution technology, or financial markets.

  • Strong understanding of execution algorithms, market microstructure, and order routing.

  • Experience working with quantitative trading teams or execution desks is highly preferred.

  • Familiarity with TCA methodologies and execution performance optimization.

  • Knowledge of FIX protocol, EMS/OMS platforms, and market data infrastructure.

  • Excellent communication skills to bridge the gap between technical teams and institutional clients.

Why Join Us?

  • Work on cutting-edge execution technology that directly impacts institutional trading performance.

  • Solve complex execution challenges using data-driven insights and algorithmic research.

  • Be a core part of a research-driven trading team developing execution solutions from the ground up.

  • High-impact role with ownership over the product roadmap for execution analytics and SOR.

  • Compensation: Competitive Base Salary + Significant Equity – Be part of a high-growth firm with strong upside potential.

How to Apply

Send your resume and a brief description of relevant projects you’ve worked on to [email protected] with the subject line "First Name, Last Name, Product Manager App". If you have experience leading execution technology products or have worked closely with quantitative trading teams, attach relevant work samples.

We look forward to working with you!

Top Skills

Ems
Execution Algorithms
Fix Protocol
Market Microstructure Modeling
Oms
Smart Order Routing
Transaction Cost Analysis
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The Company
HQ: New York, New York
44 Employees
On-site Workplace
Year Founded: 2022

What We Do

Blockhouse is a financial data platform enhancing best execution with complex post-trade data visualizations and AI-powered analytics. Our technology enhances firms' best execution process - boosting execution efficiency and reducing transaction costs.

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