Decision Systems Engineer

Titanium Birch isn’t your typical investment firm.

Started by one of the co-founders of ExpressVPN, we’re a small, multidisciplinary team building an investment firm from the ground up. Software is deeply integrated into how we research, invest, and operate. As we develop better ways to understand businesses and markets, we turn those ideas into software, automation, and AI, continually improving how the firm operates and makes decisions.

We've already built a systematic, factor-tilted public equities portfolio from strategy through implementation, automated accounting and reconciliation that passes audits, and developed increasingly systematic ways to approach venture investing. We want to go much further.

We’re looking for someone with a mix of engineering chops and genuine interest in investing. You might be an engineer who invests on the side, or an investor or operator who has learned to code. The key thing is that you can take an ambiguous problem, get to the heart of what matters, and work with others to build a useful solution.

You don’t need a finance background. You do need good judgment, strong communication, broad curiosity, and the ability to use modern tools thoughtfully and effectively.

Does this sound like you?

• You’re comfortable writing code and equally interested in discussing how we might allocate capital.
• You love learning how businesses, systems, and people work.
• You use AI effectively to explore ideas, accelerate execution, and improve the quality of your thinking.
• You’re resourceful. When faced with something unfamiliar, you figure it out.
• You notice when something is clunky, unclear, or broken — and want to improve it.
• You communicate clearly, ask good questions, and work well with people from different backgrounds.
• You live in Singapore (or are returning home) and expect to stay for the foreseeable future.

What will I be doing?

You'll help us build better systems for how Titanium Birch operates, learns, and makes decisions.

That might mean:

• Building systems that support investment decisions in public markets.
• Creating a knowledge engine that turns messy information from fund managers and external sources into something our team can act on quickly and confidently.
• Working across investing, operations, finance, and data to identify bottlenecks and design better ways of working.
• Systematizing recurring work such as reporting, reconciliation, due diligence, research, and portfolio monitoring.
• Improving the reliability, visibility, and usability of the systems we already depend on, and building new tools, automations, and workflows where they help.