Financial Engineer / Data Scientist, Financial Markets • Seed-Stage AI Fintech • Houston, TX (In-Person)
About
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.
The Role
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.
What You'll Build
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.
What You'll Do:
- 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
Core Technical Requirements:
- Strong Python (async programming)
- Hands-on ML / data science experience applied to financial markets data
- Applied AI / LLM integration experience
- Data engineering with complex data pipelines for real-time data
- Real-time financial markets data processing experience
- 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
Nice to Have:
- Software engineering skills
- Experience with modern AI frameworks
- High-compliance / regulated industry background
- Prior startup experience
What We're Looking For:
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
Why Join:
- 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, all of our team have 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
Interview Process: 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.
Application Process:
- Apply through LinkedIn
- Complete your application at: https://moshi.team/careers
Both an application submitted through LinkedIn and Moshi are required for consideration.
In your application, tell us:
- Why do you want to work at an early-stage startup, and what makes you a good fit?
- What's your background and knowledge of financial markets? Are you comfortable communicating with intense traders and financial professionals?
- How much do you love data? We're a data-centric company. How do you think about setting up a data pipeline — and what's the most difficult data pipeline you've built?
- What's your experience taking AI systems to production?
Requirements added by the job poster:
- Working in an onsite setting
- Authorized to work in the United States
- 4+ years of Python, data science / machine learning
- Working knowledge of financial markets