Most quant roles keep you in a corner. You’re asked to build a model, pass it off, and wait. But what if you could actually do more? What if you could work at the intersection of finance, machine learning, and code - and own the whole thing from idea to execution?
That’s exactly what the role we’re hiring for on behalf of a fintech company offers.
We at Bamboo X are working with a fintech company that’s backed, growing, and focused on solving real financial problems through applied ML and solid engineering. They’re now hiring a Senior Quant Engineer to bring it all together.
what they were missing and why this role exists
Before coming to us, the team had tried hiring for this role a few different ways. They’d seen candidates who could model well, but couldn’t explain their thinking. Others could code, but didn’t understand the nuance behind financial data.
What they needed was someone who could do both. Someone who could work directly with raw data, build models with care, and make sure those models actually lived inside a real product. Not a researcher. Not just an engineer. A builder, who knew how to think in systems.
the kind of work you'll be doing
This team isn’t looking to slot you into one narrow space. You’ll work across:
- Machine learning models that help improve financial decision-making
- Structured and unstructured data, using methods that make sense for each
- Techniques like Bayesian modeling, LLMs, and regression—but with flexibility, not rigidity
- Infrastructure that supports scale and performance
- Cross-functional projects that bring together math, code, and product thinking
what kind of background fits best here
You’ll ship code, shape experiments, and play a key role in what gets built.
The scope of the role was clear. To succeed here, the right person would need more than just technical skills. They’d need judgment. They’d need to be comfortable inside a fast-moving environment, where not everything is figured out, and where asking better questions matters as much as having the right answers.
What stood out most in strong candidates:
- Experience with quant research, ML engineering, or applied modeling
- Comfort working in live environments, not just notebooks
- Ability to switch between building, debugging, and improving
- Clear thinking, fast execution, and zero need for micromanagement
where we are in the hiring process
Given the requirements, this isn’t going to be a quick placement. The team needs someone who’s worked across finance, modeling, and production-level code and can actually own it without layers of handholding.
I’ve spoken to a few candidates. Some had potential, but none have hit the level this role calls for. We’re still actively sourcing and speaking to people.
interested in the role? fill out the form below to apply
If you’ve done this kind of work before and you’re looking for something serious, send your application by filling out the form below. We can talk about what they’re building, where you’d fit, and why this might be the most interesting role you’ve seen in a while.
