Data Scientist: Production ML for Financial Markets

Hunter Bond; Texas; On-site; USD 117,000 - 143,000; Full time

Benefits offered by this job

Extremely competitive bonus tied to performance

Structured learning budget for courses and certifications

Clear progression path into senior data roles

Job summary

Hunter Bond is seeking a Data Scientist to join a technology-driven investment management firm located in Houston, TX. In this hands-on role, you will work with live market data, contribute to production-ready models, and collaborate with a team of experts across finance and technology.

The ideal candidate has 1-4 years of experience in data analysis and machine learning, alongside strong Python skills. The position offers a competitive bonus and a structured learning budget.

Qualifications

• 1-4 years of hands-on experience in data analysis, EDA, and machine learning.
• Solid understanding of ML and statistical techniques.
• Strong Python skills and experience working with real-world datasets.

Responsibilities

• Perform exploratory analysis through to production-ready models.
• Shape how data is used across the firm with direct visibility and ownership.
• Collaborate with engineers and quantitative analysts at the intersection of finance and tech.
• Contribute to the full lifecycle of data science projects.

Skills

Data analysis

Machine learning

Python programming

Statistical techniques

Education

Degree in Data Science, Computer Science, Engineering, Mathematics, or similar

Job description

Role: Data Scientist

Client: Technology Driven Investment Management Firm

Compensation: Up to $130,000 base + Bonus + Benefits

Location: Houston, TX (On-site 4 days per week)

Overview

My client is a modern, technology-led investment management firm leveraging advanced data science and machine learning to drive smarter decisions across global financial markets. They’re looking for a Data Scientist at junior–mid level who’s excited by real-world data, complex systems, and the chance to see models directly influence trading and investment strategies. You’ll be joining a collaborative team of data scientists, engineers, and quantitative analysts working at the intersection of finance, technology, and analytics.

The Role

This is a hands-on role with exposure to live market data, large datasets, and decision-making systems that operate at scale. From exploratory analysis through to production-ready models, you’ll play a meaningful role in shaping how data is used across the firm — with visibility, ownership, and room to grow. This is an on-site-first environment designed for collaboration, mentorship, and fast learning, with flexibility built in where it counts.

Key responsibilities include:

• Performing exploratory analysis through to production-ready models
• Shaping how data is used across the firm with direct visibility and ownership
• Collaborating with engineers and quantitative analysts at the intersection of finance and tech
• Working with live market data and decision-making systems that operate at scale
• Contributing to the full lifecycle of data science projects
  
  

Requirements

• 1-4 years of hands-on experience in data analysis, EDA, and machine learning
• Solid understanding of ML and statistical techniques (regression, classification, clustering, time series, model evaluation)
• Strong Python skills and experience working with real-world datasets
• Exposure to (or an interest in) finance/financial data is a strong plus
• Degree in Data Science, Computer Science, Engineering, Mathematics, or similar
  
  

What’s on Offer

• Extremely competitive bonus tied to firm and individual performance
• Direct exposure to investment and trading decision-making
• Modern tech stack with real production ownership
• Structured learning budget for courses, conferences, and certifications
• Clear progression path into senior data science or quantitative roles
• High-impact work- your models won’t sit on a shelf

If you are a Data Scientist looking to join one of the world’s most elite teams, please apply for more information.