Morgan McKinley are supporting a leading global institutional trading platform to identify an experienced VP-Level Algorithmic Trading & Smart Order Routing (SOR) Engineer for their London team.
This is a high-impact, hands-on individual contributor position sitting at the core of the firm's electronic execution capabilities. You will be responsible for designing, building, and deploying cutting-edge algorithmic execution models, smart order routing systems, and liquidity management tools in production.
Note: Prior experience in digital assets/crypto is not required. The firm is explicitly prioritizing candidates with deep experience in traditional institutional financial markets.
Key Responsibilities
- Algorithmic Execution Development: Design, build, and deploy production-grade benchmark execution algorithms (e.g., TWAP, VWAP, Volume Inline) and custom spread trading strategies.
- Smart Order Routing (SOR): Architect and optimize high-performance Smart Order Routers to maximize liquidity capture, optimize fill rates, and minimize execution slippage and market impact.
- End-to-End System Ownership: Take full technical ownership of trading algorithms throughout their lifecycle—from initial strategy design and simulation to live production execution and ongoing refinement.
- Liquidity & Market Structure Optimization: Drive internalisation strategies, CRB-style trading models, and venue routing logic across diverse liquidity pools.
- Front-Office Collaboration: Work directly alongside traders, quantitative researchers, and electronic trading desks to continuous improve platform execution quality and operational resilience.
Requirements
- Institutional Track Record: Demonstrated experience building, owning, and deploying production algorithmic execution or SOR solutions within institutional markets (Investment Banks, Electronic Trading teams, or Quant Execution groups).
- Core Microstructure Knowledge: Deep understanding of order types, execution algorithms (TWAP, VWAP, Spread), smart order routing, and electronic venue connectivity.
- Asset Class Background: Experience in traditional institutional asset classes (Equities, Foreign Exchange / FX, Fixed Income, or Futures).
- Technical Excellence: Hands-on experience developing high-performance, distributed, and scalable electronic trading systems.
- Strong Differentiators: Hands-on experience with internalisation models, liquidity optimization, or CRB trading models is highly advantageous.
Algo / Smart Order Routing Engineer employer: Morgan McKinley
Morgan McKinley offers an exceptional work environment for a Terraform & AWS DevOps Engineer, providing the opportunity to collaborate with a leading UK insurance and financial services company. Employees benefit from a culture of innovation and support, with ample opportunities for professional growth and development in a dynamic, multi-vendor setting. The company's commitment to employee well-being and career advancement makes it an attractive choice for those seeking meaningful and rewarding employment.
