Execution Algo Engineer

Hytech; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Hytech in Singapore seeks a high-performance Execution Algo Engineer to design and maintain delta-neutral execution systems for quantitative trading. You will build low-latency engines supporting multi-asset portfolios and collaborate with quant researchers and trading teams to translate strategy logic into robust production code.

The role emphasizes real-time delta hedging, order routing, and market microstructure modelling to optimise execution quality and control risk for buy-side clients.

Qualifications

• 4 years of algorithm execution development experience in top quantitative funds or buy-side trading teams.
• Proficient in Modern C++ (11/14/17/20) or Rust; memory management and low-latency design.
• Experience with TCP/UDP networking, kernel tuning, and data feed processing.

Responsibilities

• Delta Execution System Development: design and implement buy-side delta hedging and real-time delta neutralization.
• Low-Latency Execution Engine Building: develop high-performance trading modules, including order routing and real-time position calculation.
• Execution Algorithm Optimization: improve slippage, market impact, and latency distribution; backtest and production iteration.
• Market Microstructure & Risk Adaptation: analyze liquidity and volatility to adjust delta tactics under risk bounds.
• Production Stability & Monitoring: build monitoring, alerting, and logging for execution pipelines.
• Cross-team Collaboration: translate delta hedging models into production code with quant researchers and traders.

Skills

Modern C++ (11/14/17/20)

Rust

Low-latency optimization

Concurrency programming

Memory management

Education

Bachelor’s or Master’s degree in CS/FE/Math/Statistics/Physics

Tools

TCP/UDP networking

Kernel tuning

Backtesting frameworks

TCA (trade cost analysis)

FIX protocol

Job description

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape. Our client portfolio includes top global trading platforms and leading crypto exchanges.

With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.

Job Overview

We are seeking a high-performance Execution Algo Engineer specializing in buy-side delta execution to design, develop, optimize, and maintain low-latency algorithmic execution systems for quantitative trading strategies. This role focuses on delta-neutral execution, real-time delta hedging, order execution optimization, and market microstructure modelling for buy-side institutional trading businesses.

The engineer will collaborate closely with quantitative researchers, portfolio managers, and trading teams to translate strategy logic into robust, low-latency production execution infrastructure. You will be in charge the core development stack to build high throughput, deterministic, and ultra-stable execution engines that support large-scale delta management for equities, futures, and options portfolios.

Core Responsibilities

• Delta Execution System Development: Design and implement buy-side algorithmic execution logic focused on delta hedging, real-time delta neutralization, incremental delta adjustment, and intraday delta risk control for multi-asset portfolios.
• Low-Latency Execution Engine Building: Develop and upgrade high performance trading execution modules using C++ or Rust, including order routing, order book parsing, real-time position calculation, tick-level delta aggregation, and execution scheduling.
• Execution Algorithm Optimization: Improve execution quality metrics including slippage, market impact, fill rate, latency distribution, and delta hedging accuracy; backtest execution logic, conduct real-time simulation, and iterate production strategies to reduce transaction costs.
• Market Microstructure & Risk Adaptation: Analyze real-time market conditions, liquidity distribution, and volatility spikes to dynamically adjust delta execution tactics; ensure strict delta risk bounds under extreme market scenarios.
• Production Stability & Monitoring: Ensuring stable operation of execution systems, troubleshoot latency jitter, order exceptions, and delta calculation deviations; build real-time monitoring, alerting, and logging systems for execution pipelines.
• Cross-team Collaboration: Work with quant researchers to convert theoretical delta hedging models into executable production code; cooperate with infrastructure and trading teams to unify execution standards and risk compliance rules for buy-side trading.
• Industry Tool & Technique Iteration: Track cutting-edge execution algorithm trends, upgrade framework performance, and optimize memory usage, thread scheduling, and network latency for high-frequency tick-level trading scenarios.

Required Qualifications & Technical Skills

• Programming Stack (Mandatory): Proficient in Modern C++ (11/14/17/20) or Rust; solid understanding of memory management, zero-cost abstraction, concurrency programming, lock-free data structures, and low-latency system optimization.
• Quant Execution Domain Knowledge: In-depth understanding of buy-side delta trading and delta hedging logic, familiar with options/equities/futures delta calculation, Greek exposure, and dynamic neutral execution mechanisms.
• Low-Latency System Experience: Hands-on experience developing high frequency trading (HFT) or low-latency execution systems; familiar with TCP/UDP network programming, kernel tuning, market data feed processing, and order gateway interaction.
• Market Structure Knowledge: Clear understanding of exchange matching rules, order types, liquidity tiers, slippage generation logic, and institutional buy-side execution workflows.
• Data & Analytical Ability: Capable of tick-level data analysis, execution result attribution, slippage decomposition, and quantitative evaluation of execution strategy performance.
• Education Background: Bachelor’s or Master’s degree in Computer Science, Financial Engineering, Mathematics, Statistics, Physics, or related quantitative majors.
• Work Experience: 4 years of algorithm execution development experience in top quantitative funds, brokerages, or institutional buy-side trading teams.

Preferred Qualifications

• Prior experience focusing on options delta hedging, volatility arbitrage execution, or multi-asset delta neutral trading.
• Proficient in Rust development with practical production trading system experience.
• Familiar with backtesting frameworks, execution simulation platforms, and trade transaction cost analysis (TCA).
• Experience with high-concurrency, lock-free, low-latency system optimization in Linux environment.
• Familiar with FIX protocol, exchange native market data protocols, and order routing systems.