Data Scientist - Agentic Solution for Financial Markets

About us

Our mission is to empower researchers, traders, asset managers and risk managers to make better decisions in financial markets

Harmoney has built an agentic solution to deliver data and analytics to the users. This helps them generate insights in seconds vs hours with traditional means.

Harmoney is backed by Y Combinator and has raised $5 mn in funding.

Solid team - worked at Goldman Sachs, Amazon, Tata Capital, Paysense, and leading schools such as IITs and Purdue

We are a product company, and our engineering team is at its heart. Our engineers thrive on innovation and the freedom to try out new things.

Responsibilities

We’re on a mission to make financial data more actionable. Looking for a Data Scientist who’s excited about helping us expand our breadth of data and depth of analytics

What will you do?

• Pull in and wrangle financial data from diverse sources
• Experiment with AI to make data more insightful
• Expand our analytics suite to help market participants make decisions faster
• Work closely with business teams to ship things fast

What will you bring?

• Strong Python + SQL skills
• Experience working with large datasets, preferably financial data
• Curiousity to explore messy data and turn it into value

Why join Harmoney?

• Small, fast-moving team → lots of ownership
• Real impact at the intersection of finance + tech
• Space to experiment and grow with us

The interview process is designed to evaluate your ability and cultural fit at Harmoney. We prefer hiring engineers who can execute their work independently and have strong problem-solving skills.

We have one phone screener followed by 2-3 technical rounds of interviews. The phone screener typically lasts 15 minutes and will give you an overview of Harmoney and ensure that your career goals are aligned with what we are looking for.