Senior Software Engineer Trading Systems

Posted Yesterday
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Boston, MA, USA
In-Office
135K-325K Annually
Senior level
Financial Services
The Role
Design, build, test, deploy, and support backend services, APIs, and web applications for front-office trading workflows. Work with traders and stakeholders to integrate OMS/EMS and market data, improve order lifecycle and post-trade processes, troubleshoot production issues, and mentor junior engineers. Implement cloud-native solutions (AWS, Kubernetes) and explore LLM/Generative AI enhancements.
Summary Generated by Built In

Job Overview

We are seeking an experienced Engineer to join our Trading Systems team within the Front Office Systems group. This role is ideal for a hands-on engineer who can design, build, and support critical applications used by traders, portfolio managers, and investment teams.

The role builds on the core Trading Systems responsibilities of developing applications, backend services, APIs, cloud-based solutions, and integrations that support front-office trading and investment workflows. The successful candidate will be expected to operate with limited day-to-day supervision, apply sound technical judgment, influence technology decisions, mentor junior colleagues, and independently drive projects to completion.

Responsibilities

  • Design, develop, test, deploy, and support Trading Systems services, APIs, and workflow applications.

  • Build and maintain backend services using Python and C#.

  • Contribute to modern web applications using React, JavaScript/TypeScript, HTML, and CSS.

  • Develop and support cloud-based solutions using AWS services such as EKS, Lambda, EC2, S3, and RDS.

  • Partner with traders, portfolio managers, operations teams, and business stakeholders to translate workflow needs into technical solutions.

  • Support integrations with internal systems, OMS/EMS platforms, market data providers, trading platforms, and operational tools.

  • Improve workflows related to order lifecycle management, trading, execution, allocations, and post-trade processes.

  • Troubleshoot production issues, perform root-cause analysis, and implement durable fixes.

  • Contribute to technical design decisions, architecture discussions, code reviews, testing, release processes, and engineering best practices.

  • Identify opportunities to improve system reliability, performance, scalability, automation, and developer productivity.

  • Explore and apply Generative AI / LLM-based capabilities where they can improve workflows, automation, or user experience.

  • Mentor junior engineers and provide technical leadership within the team.

Requirements

  • Strong professional software engineering experience, preferably in financial services, fintech, asset management, or another business-critical technology environment.

  • Experience with object-oriented programming, preferably in Python or .NET.

  • Experience building backend services, APIs, application integrations, or data-driven systems.

  • Familiarity with AWS cloud services, including EKS, Lambda, EC2, S3, RDS, or similar services.

  • Experience with modern web development, preferably React and JavaScript/TypeScript.

  • Strong understanding of software engineering fundamentals, including APIs, data structures, version control, automated testing, debugging, and secure development practices.

  • Experience with relational databases and SQL.

  • Ability to independently deliver high-quality technical work with limited day-to-day supervision.

  • Strong problem-solving, communication, and stakeholder-management skills.

  • Prior experience supporting front-office, trading, market data, or investment operations systems.

  • Experience with OMS and/or EMS platforms as well as understanding of trading workflows, order routing, execution, allocations, and post-trade processes. are preferred

  • Familiarity with REST APIs, microservices, event-driven architectures, messaging systems, or system integrations as well as CI/CD, containerization, Kubernetes, DevOps practices, and production observability tools is preferred.

  • Knowledge of financial instruments such as equities, ETFs, derivatives, FX, or fixed income is an asset.

  • Experience with Generative AI, LLMs, AI-assisted application features, prompt-driven workflows, or agentic AI frameworks is welcome.

The base salary range for this position is $135,000 - $325,000 per year.

Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate’s base salary placement within the listed range will vary based on the candidate’s relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process.  

Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world. 

All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law.

Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

Skills Required

  • Strong professional software engineering experience in business-critical environments
  • Object-oriented programming experience (Python or .NET/C#)
  • Build and maintain backend services, APIs, application integrations, and data-driven systems
  • Familiarity with AWS services (EKS, Lambda, EC2, S3, RDS)
  • Strong software engineering fundamentals: data structures, version control, automated testing, debugging, secure development
  • Experience with relational databases and SQL
  • Ability to independently deliver high-quality technical work with limited supervision
  • Strong problem-solving, communication, and stakeholder-management skills
  • Prior experience supporting front-office, trading, market data, or investment operations systems
  • Experience with modern web development (preferably React and JavaScript/TypeScript)
  • Experience with OMS and/or EMS platforms and trading workflows (order routing, execution, allocations, post-trade)
  • Familiarity with REST APIs, microservices, event-driven architectures, messaging systems, CI/CD, containerization, Kubernetes, DevOps, and observability tools
  • Knowledge of financial instruments (equities, ETFs, derivatives, FX, fixed income)
  • Experience with Generative AI, LLMs, or AI-assisted application features
  • Mentoring junior engineers and providing technical leadership
  • Troubleshooting production issues, performing root-cause analysis, and implementing durable fixes
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The Company
HQ: Boston, MA
438 Employees
Year Founded: 1999

What We Do

Arrowstreet Capital is a Boston-based investment manager that provides global and international equity investment strategies and fund products to institutional investors such as pension plans, endowments, foundations, and registered/unregistered commingled investment funds. We offer a select range of global equity investment strategies managed as long-only, alpha extension and long/short utilizing a broad range of instruments, including swaps and futures. Our investment process utilizes quantitative methods that focus on identifying and incorporating investment signals into our proprietary return, risk and transaction cost models. Our investment approach involves creating and investing in diversified equity portfolios. We utilize a structured investment process that attempts to add value relative to a client specific benchmark. This involves identifying opportunities across companies, sectors and countries by evaluating a diverse set of fundamental and market-based predictive factors. Portfolios are constructed through the use of a mean variance optimizer and proprietary risk and transaction cost models. Arrowstreet Capital manages approximately $100 billion for over 200 client relationships in North America, the United Kingdom, Europe and the Asia-Pacific regions.

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