Forward Deployed Engineer - Equity Long/Short Hedge Fund - Upward Trend

eFinancialCareers; Greater London; On-site; GBP 65,000 - 95,000; Full time

Job summary

eFinancialCareers in London seeks a Forward Deployed Engineer to join a leading Equity Long/Short hedge fund's central Data & AI team. You will translate complex business challenges into scalable technical solutions, building AI and data infrastructure for front-office investment teams.

You’ll collaborate with engineers, data scientists, and investment professionals to automate workflows and deploy AI-powered tools in a fast-paced environment.

Qualifications

• 1–2 years of software engineering experience.
• Strong programming skills.
• Interest in AI, machine learning, and modern data platforms.
• Excellent problem-solving ability and teamwork.

Responsibilities

• Partner with portfolio managers, analysts, and researchers to understand investment workflows and automation opportunities.
• Design, build, and deploy AI-powered applications and data tools for front-office teams.
• Develop solutions that integrate large-scale data, machine learning models, and modern software practices.
• Collaborate within the central Data & AI team and contribute to strategic initiatives.

Skills

Software engineering

Programming

AI / ML interest

Data platforms

Education

Bachelor's degree in Computer science, Mathematics, Engineering, Physics

Job description

We are seeking a talented Forward Deployed Engineer to join the central Data & AI team of a leading Equity Long/Short hedge fund in London.

This is a unique opportunity to work alongside experienced engineers, data scientists, and investment professionals, building cutting-edge tools that directly support front-office investment teams. You will help translate complex business challenges into scalable technical solutions, leveraging state-of-the-art AI and data infrastructure in a fast-paced, high-performance environment.

What You’ll Doing

1. Partner closely with portfolio managers, analysts, and researchers to understand investment workflows and identify opportunities for automation and innovation.
2. Design, build, and deploy AI-powered applications and data tools used by front-office teams.
3. Develop solutions that integrate large-scale data, machine learning models, and modern software engineering practices.
4. Work within a highly collaborative central Data & AI team, learning from experienced mentors and contributing to strategic initiatives across the firm.

What We’re Looking For

1. 1–2 years of software engineering experience.
2. Outstanding academic record, ideally in Computer Science, Mathematics, Engineering, Physics, or a related quantitative discipline.
3. Strong programming skills and a passion for building high-quality software.
4. Intellectual curiosity, problem-solving ability, and a desire to work at the intersection of technology and investing.
5. Interest in AI, machine learning, and modern data platforms.