Lead Equities Algo Developer - Leading Investment Bank

Sanderson-Ikas

Hong Kong

Presencial

HKD 1 200 000 - 2 500 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Competitive Bonus

Resumo da oferta

Sanderson-Ikas seeks a Senior Algorithmic Trading Developer for cash equities in Hong Kong, joining a front-office focused team. You will design, build and enhance execution algorithms used by institutional desks.

You'll own key platform components, work with traders and quants, and help set technical direction while growing into leadership roles. Strong Python, analytics and high-performance software skills are essential.

Qualificações

  • 10+ years hands-on software development experience in finance or high-performance systems.
  • Experience developing or supporting electronic trading or execution systems.
  • Strong knowledge of equity microstructure and execution concepts.
  • Proven ability to own projects and guide architecture.

Responsabilidades

  • Design, develop and enhance cash equity execution algorithms and the trading platform.
  • Translate trading requirements into robust, scalable technology solutions.
  • Take technical ownership of major components and guide engineering practices.
  • Collaborate with traders, researchers and business stakeholders.
  • Build testing, simulation/backtesting, monitoring and operational tooling.
  • Drive architecture decisions and longer-term technology direction.
  • Provide Level 2 production support for critical systems.
  • Deliver complex projects from requirements to production.

Conhecimentos

Algorithmic trading
Software development
Python
Technical ownership
Tech leadership
CI/CD
Testing & QA
Trading desk collaboration

Formação académica

Bachelor's or Master's degree in Computer Science/Engineering/Mathematics

Ferramentas

Backtesting frameworks
Trading platforms

Descrição da oferta de emprego

Date posted: 30/09/2026

Job Type: Permanent

Salary: $1200000-$2500000 Competitive Bonus

Location: , Hong Kong

Senior Algorithmic Trading Developer - Cash Equities

Join a leading financial technology and trading organisation developing sophisticated algorithmic execution solutions for cash equities across Asian markets.

This is an opportunity for a senior software engineer to work at the intersection of software engineering, quantitative trading and electronic execution, building and enhancing algorithmic trading strategies used by institutional investors and professional trading desks.

You will join an experienced Algo Development team within a fast-paced front-office environment, working closely with traders, quantitative researchers and business stakeholders to develop new execution capabilities and continuously improve an established algorithmic trading platform.

The role offers the opportunity to take technical ownership of key areas of the platform, with potential to grow into a technical leadership / Tech Lead position as the team and platform continue to evolve.

The Role

As a Senior Algorithmic Trading Developer, you will play a key role in designing, developing and enhancing cash equity execution algorithms and the underlying trading platform.

You will develop a strong understanding of equity market microstructure, execution strategies and trading workflows, using this knowledge to translate trading requirements into robust, scalable technology solutions.

As a senior member of the team, you will be expected to take ownership of significant technical initiatives, contribute to architectural decisions and help guide engineering practices across the Algo platform.

Your responsibilities will include:

Design, develop and enhance algorithmic execution strategies for cash equities across Asian markets

Work with trading and quantitative teams to develop and refine execution strategies such as VWAP, TWAP, Participation/POV, Implementation Shortfall and liquidity-seeking algorithms

Develop functionality around order scheduling, order slicing, liquidity management, market impact and execution optimisation

Analyse trading performance using metrics such as slippage, transaction costs, fill rates, market impact and execution quality

Develop a deep functional and technical understanding of existing algorithmic strategies to identify opportunities for optimisation and improvement

Work directly with traders, quantitative researchers and business stakeholders to understand requirements, assess opportunities and deliver solutions

Take technical ownership of key components and contribute to the architecture and longer-term technology direction of the algorithmic trading platform

Provide technical guidance to other developers and help establish engineering standards and best practices

Drive the design and delivery of complex projects from initial requirements through to production

Build supporting technology including testing frameworks, simulation/backtesting tools, monitoring, alerting and operational tooling

Analyse historical market and trading data to evaluate strategy performance across different market conditions, liquidity profiles and volatility regimes

Use Python for quantitative analysis, backtesting and investigation of trading behaviour

Drive engineering best practices including TDD, unit testing, code reviews, CI/CD and automated testing

Collaborate with teams across Trading, Quant Research, QA, Production Support, Operations, Compliance and other technology functions

Provide Level 2 production support, investigating issues and helping to maintain the reliability and performance of critical trading systems

Contribute to the evolution of the team's development practices, technical roadmap and overall engineering capability

What We're Looking For

10+ years of hands-on software development experience, ideally within financial markets or another highly complex, high-performance technology environment

Experience developing or supporting electronic trading, algorithmic trading or execution systems

Strong understanding of equity market microstructure and electronic execution

Familiarity with concepts such as VWAP, TWAP, POV/Participation, Implementation Shortfall, liquidity, order books, slippage and market impact

Experience working closely with traders, quantitative researchers or other front-office stakeholders

Strong analytical and problem-solving capabilities, with the ability to investigate trading behaviour and translate business requirements into technical solutions

Experience taking technical ownership of projects, platforms or core components

Experience providing technical leadership, mentoring developers or acting as a Tech Lead / Lead Developer would be advantageous

Demonstrated ability to influence technical direction and make sound architecture and design decisions

Experience working across the full software development lifecycle, from requirements and design through to production deployment and support

Experience with Python for analytics, data analysis or backtesting is advantageous

Experience with quantitative, statistical or machine-learning techniques is advantageous

Strong understanding of software engineering principles, including testing, code quality, system design and production reliability

Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, Engineering or a related quantitative discipline

Why This Opportunity?

Work on real-time algorithmic trading and execution technology within a front-office environment

Exposure to sophisticated cash equity execution strategies and market microstructure

Collaborate closely with traders, quantitative researchers and experienced technology professionals

Take ownership of core components within a mission-critical trading platform

Opportunity to influence the evolution of an established algorithmic trading framework

Potential to progress towards technical leadership / Tech Lead responsibilities while remaining hands-on with technology

Opportunity to work on technically challenging problems involving high-volume trading, real-time decision-making and complex market data

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