Data Scientist, Financial Markets

Moshi is a VC-backed, AI-native startup building for the financial markets. We're a super fast-growing, in-person team in Houston, working with real-time financial markets data. Founded by an experienced institutional financial trader with a deep ML research background.

You'll join our founding team as our fifth hire, working closely with the founding team. This is a role for someone who wants to be deeply in the build: shaping models, shipping product, and working hands-on with real clients from day one.

Something customers pay for that didn't exist before. You'll help build the product, the platform, and the intelligence layer that makes Moshi genuinely useful to financial professionals.

• Build and validate statistical and ML models on real-time financial markets data
• Design and ship applied AI workflows for financial markets use cases
• Work hands-on across data engineering, data pipelines, and modelling
• Partner closely with clients to turn real financial markets workflows into product
• Help shape the AI roadmap as we scale

• Hands-on ML / data science experience applied to financial markets data
• Data engineering with complex data pipelines for real-time data
• Experience working with multiple types of financial markets data
• Modern database systems with advanced features
• Event streaming and message queue systems
• Financial markets exposure across any asset class

You understand how markets work and how financial investors think. You've either traded, worked with institutional investors and traders, or spent serious time learning markets deeply. You can speak across asset classes and hold a real conversation with a financial professional.

3–7 years of data science, ML engineering, or applied ML. Strong Python, hands-on experience with modern AI systems, and real production ML.

You can hold your own in a client meeting with an intense trader. You can write a clear email. You can explain a model to an engineer and a market to an analyst.

You also need:

• Startup mindset — comfortable with ambiguity, ships fast, owns end-to-end
• Action-oriented, high-performing, client-focused
• You thrive in a dynamic, in-person team environment

• Software engineering skills
• Experience with modern AI frameworks
• High-compliance / regulated industry background
• Prior startup experience

• AI-native company changing how software is built for financial markets
• Huge scope to learn, grow, and take real ownership
• Work directly with a high-performing team — backgrounds spanning bulge bracket finance, big tech, and NASA
• Fast-paced, action-oriented, client-focused culture
• In-person team in Houston — real collaboration, real velocity

Multiple stages with our CTO and senior engineers, culminating in an in-person Super Day in Houston. Part of the process includes providing proof of work and meeting the team in person.

• Working in an onsite setting (Houston, TX)
• Authorized to work in the United States
• 4+ years of Python, data science / machine learning
• Working knowledge of financial markets