Solving the problems conventional models miss. Join Cristo Labs.

We work best with rigorous thinkers from quantitative backgrounds: applied mathematics, statistics, machine learning, computer science, and quantitative finance. The common thread is not a specific degree. It is the ability to take a messy, real-world problem, define it precisely, build a defensible method, and explain the answer in plain language to someone who has to make a decision on it.

The best people rarely fit a pre-defined role. If you are a serious thinker who does careful work and thrives without heavy structure, we want to talk, even if nothing formal is listed below.

Real problems, real stakes. You work on live engagements where the answer changes a decision, not on research that sits in a drawer.

Direct access. You work directly with the founder. Your ideas get built, not lost in translation.

High impact. On a small team, your contribution is not one line of code. It is a core part of the work a client relies on.

Rigour that is the point. Our credibility is our research foundation. The standard is work that would survive serious scrutiny, because often it has to.

Quantitative Researcher / Applied Scientist — Location: India (remote), open to international collaboration

You will help build and stress-test the methods behind our model validation work and the Cristo Labs Console: ranking entities under uncertainty, detecting deterioration before it shows in the headline numbers, and finding where a model quietly fails. The work runs from messy real-world data to a clear, defensible result a client can act on.

What we look for:

• Strong quantitative background in applied mathematics, statistics, machine learning, computer science, or quantitative finance (PhD or near completion is welcome, but evidence of rigour matters more than the specific credential).
• The ability to define a problem before solving it, and to work with sparse, messy, real-world data.
• Working knowledge of one or more of: time series methods, machine learning, multi-criteria decision analysis, stochastic modelling, and classification under rare or imbalanced conditions.
• Proficiency in Python (R, Julia, or C++ a plus).
• A genuine interest in financial risk, model validation, operational resilience, customer and revenue analytics, or institutional decision-making, or a real willingness to develop one.
• The ability to communicate findings clearly to a non-technical decision-maker, not only in code.

We keep it simple. No long forms, no portals. If you think you belong here, send your CV and a short note about your work to connect@cristolabs.com.

Cristo Labs is committed to an environment where everyone is welcomed, supported, and challenged. Your success is our success.