360Labs is among Asia's fastest growing AI companies. We build AI agents, enterprise software and products for clients across government, defence, healthcare, fintech and beyond, and we ship quick: working prototypes in days, production systems in weeks. We're looking for an engineer who can take an idea and ship it as a working product, covering data, model, backend, frontend and deployment.

What you'll do

- Own our fintech products. Set the vision and roadmap for the AI products we build for banks, investment managers and other financial institutions. Decide what we build, what we don’t and why.
- Know the client’s world. Work alongside clients in retail banking, investment banking and asset management as part of their team, not a vendor. Learn how their desks, operations and risk teams really work, and find where AI can make a measurable difference.
- Stay hands-on. Prototype in code, dig into the data, review model outputs and work side by side with our engineers to get products shipped. You’ll lead from the codebase, not a slide deck.
- Translate between finance and engineering. Turn client needs into precise technical requirements. Explain what our systems can and can’t do in terms a portfolio manager or chief risk officer will trust.
- Set the bar for rigour. Define how we measure success. Design the evaluations, backtests and benchmarks that prove our products are accurate, robust and explainable enough for a regulated industry.
- Build for regulation. Bring compliance, model risk and data security into product decisions from day one.



Work closely with our CLO so that everything we ship meets the standards financial institutions expect.

About you

- You have 5+ years of experience across software engineering, quantitative research or product roles.
- You are a strong engineer. You write clean, production-quality code, ideally in Python, and you have built real systems with machine learning or large language models.
- You have worked at a leading financial institution, such as a retail or investment bank, a hedge fund, a trading firm or an investment manager. You understand how these firms make decisions, manage risk and buy technology.
- You think like a product leader. You can take an ambiguous problem, work out what matters most and lead a team to a product that works.
- You are as credible with a head of trading as you are with a machine learning engineer. You write clearly and explain complex ideas simply.
- You are rigorous. You test your assumptions, follow the evidence and know the difference between an impressive demo and a product a bank can rely on.
- You are happy working with autonomy in a small, fast-moving remote team, and confident asking questions when you need more context.

We especially want to hear from you if you have

- Experience as a quant, quant developer or quantitative researcher at a hedge fund, trading firm or investment bank.
- A track record of taking AI or machine learning systems into production in a regulated environment.
- A strong academic background in a quantitative field such as computer science, mathematics, physics or statistics.

📌 FinTech Solutions Lead (Bengaluru)
🏢 360 Labs
📍 Bengaluru