Forward Deployed Engineer - Finance & Investments

We are a leading global asset management firm seeking a Forward Deployed Engineer to join our front office technology team, directly supporting investment professionals.

About the role

This position offers the opportunity to work closely with business stakeholders from the quantitative investment team to design and deliver innovative systems that power investment workflows, analytics, and decision-making.

Responsibilities

• Partner directly with front office stakeholders to design and build technology solutions
• Develop platforms supporting investment research, analytics, and decision workflows
• Build scalable, high-performance software systems across backend and full-stack environments
• Leverage modern AI tooling and LLM-based workflows to accelerate development
• Translate complex business requirements into clean, maintainable engineering solutions
• Contribute across the full SDLC, including design, development, testing, and deployment
• Collaborate with global teams to deliver high-impact technology solutions

Requirements

• Strong software engineering experience across Python, C#, and/or C++
• Experience building production-grade, scalable systems
• Ability to work directly with business stakeholders and translate requirements
• Strong problem-solving and communication skills
• Familiarity with modern software development practices and tools

Preferred Qualifications

• Experience in financial services, asset management, or hedge funds
• Experience building front office or quantitative systems
• Exposure to AI tools, LLMs, or AI-assisted development workflows
• Full-stack development experience

Pay

Hourly pay rate: $90–100 per hour

Schedule

Engagement type: Contract, contract-to-hire

Benefits

LaSalle Network consultants are eligible to enroll in benefits, including medical, dental, and vision coverage, as well as Family Medical Leave, Worker’s Compensation, Paid Leave, and Sick Leave. For details, visit LaSalle Network Consultant Benefits.

Work Environment

• Hybrid work model (1–2 days onsite) or fully remote
• Highly collaborative, front office–aligned environment
• Fast-paced, delivery-focused culture