Forward Deployed Engineer

Schonfeld; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Qualifications

• Minimum 5+ years of professional software engineering in finance with Python.
• Experience building AI-powered solutions for business stakeholders.
• Ability to gather requirements and iterate with non-engineering users.
• Comfort working with real-world, messy data (documents, filings, emails).
• Product sense: prioritize features and own a roadmap, informally if needed.
• Passion for AI and turning ideas into productive tools.

Responsibilities

• Collaborate with stakeholders to shape feature definitions and build AI-powered solutions.
• Design and implement agentic AI workflows to run continuously and surface actionable insights for investments.
• Develop agents, prompts, and templates; own delivery end-to-end from requirements to production and testing.
• Contribute reusable patterns back to the AI Platforms team and improve code quality.

Skills

5+ years Python

AWS cloud services

Kubernetes deployments

GitHub Actions / CI/CD

AI solutions in finance

Stakeholder communication

Agentic AI / Claude Code

Product sense / roadmap ownership

Tools

AWS

Kubernetes

GitHub Actions

Job description

The Role

We’re hiring multiple Forward Deployed Engineers to join our AI Solutions team across our global offices. You’ll be embedded with the business – working alongside portfolio managers, researchers and corporate teams – to identify, build and productionize AI solutions that take real work off their desks. Where our AI Platforms team builds the shared foundation, you build on top of it and deliver into the business. This is a high-impact, hands-on engineering position where you’ll contribute not just as an AI software engineer, but also as an AI strategist. You’ll work in a dynamic, fast-paced environment where product requirements evolve, and business stakeholders are deeply engaged.

We are growing this team through 2026 and expect to make several hires from this posting across regions. We are hiring at Engineer through Senior Engineer level and will calibrate level, scope and compensation to your experience.

What you’ll do

• You’ll work closely with various business stakeholders, helping shape feature definitions, and design and build high-impact AI-powered solutions to automate manual processes.
• Design and implement new Agentic AI-powered workflows to run continuously in the background, analyzing market news, security data, SEC filings, emails, and other data sources and surface pertinent information that can help drive investment decisions.
• Develop agents, skills, prompts, and workflow templates, along with tailored customizations for portfolio managers. Own delivery end-to-end, from requirements through production and post-launch iteration, including User Acceptance Testing with relevant stakeholders until the solution is successful
• Feed proven patterns back to the AI Platforms team as reusable assets, and contribute to the team’s code quality, best practices and development lifecycle

Where you might focus

We are filling several of these roles and each one is embedded with a different part of the firm. Depending on your background and interests you might focus on one of the areas below – let us know which is the better fit for you.

• Investment-facing – embedded with a strategy, building solutions against the investment process alongside portfolio managers and research teams
• Non-investment and enterprise – partnering with corporate and operational functions to automate document-heavy and manual workflows end-to-end
• Agentic coding – embedded with quant and engineering teams to drive adoption and effectiveness of agentic coding tools such as Claude Code, solving team-specific problems and turning what works into reusable patterns
• EMEA – the same remit based in our London office, partnering with investment and non-investment teams in the region

What you need:

• 5+ years of professional software engineering Python experience in finance, working with investment professionals
• Experience with AWS cloud services (S3, OpenSearch, DynamoDB, etc.), Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines
• Experience building and shipping software directly with non-engineering users, gathering requirements from them and iterating on real feedback
• Comfort working with messy real-world data such as documents, filings, emails, and market and reference data
• Product sense: gathering requirements, prioritizing features and owning a roadmap, even in an informal or unofficial capacity
• A passion for AI, creative ideas for how it can be a tool for problem solving and productivity
• A thoughtful approach to problem-solving; ability to break down complex issues methodically
• Excellent communication skills; able to translate technical concepts for non-technical stakeholders
• Experience in finance working directly with investment professionals – required for our investment-facing roles, valued but not essential for the others
• Experience developing agentic AI applications, harnesses, MCP servers, and workflows
• Familiarity with or experience building AI agents, Retrieval-Augmented Generation (RAG) pipelines, or agentic tools
• Hands-on use of agentic coding tools such as Claude Code in your own workflow
• Product management experience, or exposure to product-management-like responsibilities

Who we are

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

#LI-TJ1

APAC Demographic Information (Completion is voluntary)

Individuals seeking employment at Schonfeld are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. As a part of that, we want to encourage candidates to voluntarily complete the following survey which helps us keep track of how we are doing in our efforts.

Completion of the form is entirelyvoluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.