New York or Chicago - Hybrid

This is a role for an experienced Senior Software Engineer seeking an opportunity to design and build a state-of-the-art data platform capable of competing with the next generation of technical advances in the trading industry. You’ll also be mentoring junior engineers and helping them develop and grow with the team.

Key skills and experience required:

• 5+ years of experience building software in C/C++ and Python, including a solid understanding of system architecture and optimization.
• Experience with large data sets and building large-scale ETL pipelines.
• CI/CD and regression test suite experience for managing and improving data pipelines.
• Knowledge of application transport and network infrastructure protocols.
• Tick data management and research engineering tools.
• Good understanding of relational databases.

You will be helping this leading investment management firm continue to evolve the tools and technology that make for better, clearer and more accurate decision-making.

You will be part of a global team that develops tools, applications and services that support investment managers with portfolio construction, idea generation and trading decisions. You will also work with senior management, risk managers, Researchers and Quants to gather requirements and create solutions for them.

 Key Skills and Experience

• 5+ years of professional full-stack development experience (Python, Angular)
• Experience with libraries such as Pandas, NumPy etc
• Good knowledge of database creation and manipulation in SQL.
• Excellent communication skills and be able to comfortably work with front office teams (Quants, Researchers and Portfolio Managers)

This is an excellent opportunity for an experienced leader who enjoys being hands-on, working side-by-side and supporting a highly talented and accomplished team of engineers. Your industry experience is less important than your technical and leadership ability for this role and you will be able to learn about quantitative finance, pricing and investing as you progress. In this role, you will lead a globally distributed team in building a large-scale core system that underpins the entire front office operation of this leading investment management firm. The platform ingests huge amounts of data from multiple internal and external sources, managed through a modern, C++ based system that uses microservices and a high-performance concurrent distributed system.

Skills and Experience Required

• Leadership experience, managing a team size of at least 3.
• Hands-on, comfortable working 50% of your time on software development.
• Experience designing and building mid to large-scale, distributed, concurrent, microservices-based systems.
• Experience with both on-prem and cloud-based environments, including AWS, GCP or Azure, containerisation i.e. Docker and Kubernetes.
• At least 10+ years C++ (version 14+).
• 5+ years of Linux.
• Minimum bachelor's degree educated.

Beneficial but not essential

• Financial services experience, in particular in anything related to trading or investing.
• Experience managing managers/team leads.

In this role, you will be actively engaged in constructing components tailored for both live trading and simulation. helping to refine and enhance the automation and robustness of the research infrastructure. This involves improving alpha estimation, refining risk modelling techniques, and bolstering backtesting capabilities. 

Additionally, you'll be deeply involved in the development of tools designed to facilitate signal blending, simulation, portfolio construction, and the overarching research framework. The team are also committed to maintaining the stability, robustness, and security of the platform through regular maintenance and updates. A significant aspect of your responsibilities involves establishing and implementing stringent data checking and storage procedures to ensure data integrity. When issues arise, this team diligently troubleshoots and resolves system-related problems while managing the release of necessary code fixes and enhancements.

Skills and Experience Required

• Relevant industry experience of 3+ years in a systematic/quant buy-side firm (HF/IM) creating front-office tools and infrastructure using Python (using Python as a production-level language) i.e dashboards, portfolio construction, research framework etc
• Experience working with some or all of:
  • components for both live trading and simulation
  • handling connections to order management systems
  • back-testing
  • risk modeling
• Experience with time series data/kdb
• PhD/Doctorate or Masters in computer science or other relevant subject i.e. math, statistics etc

In this role, you will work directly with traders as part of a team of Engineers, helping to support the expansion of ULL (ultra-low latency) trading system connectivity components to key strategic markets. In this wide-ranging role, you will also be helping to optimize the order management (execution) algos and developing enhancements to trading strategies.

Working for a leading HFT firm in either Chicago, New York or London, your role will be designing and implementing a high-frequency trading platform, optimizing for low latency using advanced network and systems programming techniques.

Essential Skills and Experience:

• Experience with trade execution systems in financial markets.
• Ability to work directly with traders, quantitative analysts, and researchers and collaborate with other engineers to get things done.
• Strong expertise in modern C++ (14,17,20+) or Java, concurrency and multithreading
• Good knowledge of networking basics (uni/multicast, TCP/IP) and experience with FIX, HTTP and WebSockets.

Beneficial:

• Experience working with market-making trading systems.
• Polyglot, interested in learning new languages i.e. Rust.
• Knowledge of containerisation and orchestration of trading applications, especially using Docker and Kubernetes.
• Experience with cloud computing and distributed systems.
• Familiarity with big data technologies and time-series databases.
• MSc in Computer Science (or similar).

Role Description

This role sits in a high-performing and highly collaborative team that works directly with traders to design, build and manage one of the most advanced, high-speed trading systems in the fast-paced crypto trading industry. Working with a highly skilled team of software engineers, traders, researchers and quants, you'll be developing innovative technical solutions and helping to make them a reality.

You'll also have the opportunity to learn Rust and develop your skills in using this innovative language to find new ways to optimize and enhance the core trading platform.

What You Will Do

Your day-to-day will inevitably present a variety or different tasks, projects and problems to solve, such as:

• Working with colleagues (developers, DevOps engineers, IT support teams) to ensure the smooth operation of trading systems.
• Working closely with traders, quantitative analysts and researchers to learn and understand business requirements and translate them into technical solutions.
• Hone your skills by learning from fellow engineers to write well-structured, maintainable, and efficient code.
• Build and manage robust trading infrastructure capable of smoothly and continuously handling large volumes of data and transactions.

Apply now

On offer is a chance to work at one of the global leaders in crypto trading, offering excellent benefits (private healthcare including dental and vision, pension, 30 days holiday, free food) and highly competitive salaries and bonuses. If this opportunity is of interest and you meet the key requirements, apply now.