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Remote Data Science Trading Jobs in Chicago, IL (NOW HIRING)

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior Data Scientist

Chicago, IL · On-site +1

$103K - $172K/yr

... and the ranges for remote candidates are $95,900 - $159,800 . This role is eligible for an ... Bachelor's Degree BS in technical field such as Statistics, Mathematics, Data Science, Applied ...

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Experience with continuous integration, especially in a data science context * Experience with Ruby on Rails Benefits: * Competitive salary and benefits package * Flexible, remote work * Fun, fast ...

Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

Computational skills using Python and/or R, including experience with data science and biological ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior Data Scientist

Chicago, IL · Remote

$100 - $115/hr

THIS IS 100% REMOTE AND LONG TERM. Top Skills Details Python,SQL,AWS,Research Modeling,NLP,feature ... Research-minded data scientist, not just a model user - Evidence of owning and designing ML ...

EXPERIENCED TRADER

Chicago, IL · On-site +1

$135K - $185K/yr

Description XR Trading is a proprietary trading firm with employees in the Netherlands, Singapore ... Bachelor's degree in a technical area such as electrical engineering or computer science Preferred ...

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Use advanced data analytics to understand consumer risk behavior trends, their impact on the ...

Showing results 21-40

Remote Data Science Trading information

What are the key skills and qualifications needed to thrive as a remote data science trading professional?

To thrive as a Remote Data Science Trading professional, you need a strong background in statistics, quantitative analysis, programming (typically Python or R), and a relevant degree such as mathematics, finance, or computer science. Familiarity with trading platforms, machine learning libraries, data visualization tools, and sometimes certifications like CFA or FRM are highly valued. Excellent problem-solving, communication, and self-management skills are crucial for analyzing market data and collaborating remotely. These abilities ensure effective trading strategies, accurate data-driven decisions, and seamless teamwork in a fast-paced, distributed environment.

How do remote data science trading professionals typically collaborate with trading teams and stakeholders?

Remote data science trading professionals often work closely with traders, quantitative analysts, and software engineers through virtual meetings, collaborative platforms, and shared code repositories. Daily responsibilities may include analyzing market data, developing predictive models, and communicating actionable insights to inform trading strategies. Effective communication and clear documentation are crucial to ensure alignment across the team, given the remote structure. Many organizations use project management tools and regular check-ins to maintain transparency and foster collaboration between remote data scientists and other trading stakeholders.

What is a remote data science trading professional?

A Remote Data Science Trading job involves using data analysis, statistical modeling, and machine learning techniques to inform and improve trading strategies, all while working from a remote location. Professionals in this role analyze large datasets, build predictive models, and help optimize financial trades for institutions or trading firms. The remote aspect means all tasks are performed online, allowing for flexible work arrangements and collaboration with teams across the globe. This position typically requires strong programming, analytical, and financial knowledge.
Infographic showing various Remote Data Science Trading job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist - Pricing & Profitability (Hybrid)

Enova International

Chicago, IL • On-site, Remote

$87K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
About the role:
We are seeking a talented Data Scientist to join our Pricing and Profitability team, a critical unit within our Data Science & Credit Risk department. This team is at the heart of our business operations, ensuring that our lending decisions not only meet our risk management standards but also maximize our company's profitability. You will play a pivotal role in shaping our lending strategies, balancing risk and reward to drive our mission forward.
You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the pricing and credit models that power Enova's business. You will be responsible for proactively identifying trends in financial performance to improve these models.
Your work will be wide-ranging and impactful, exposing you to adjacent operations and stakeholders in the fields of credit operations, capital markets, financial planning and analysis, marketing, and sales. You will collaborate with these internal stakeholders and use modeling and analysis to present a clear and cohesive vision for the financial impact of their own initiatives.
Key responsibilities:
  • Develop and refine models to optimize pricing strategies across various customer segments, ensuring alignment with our company's risk appetite and return objectives
  • Collaborate closely with the Credit Risk Modeling team to understand our proprietary risk models, and incorporate them effectively into profitability models
  • Design and implement A/B testing frameworks to evaluate the performance of pricing strategies, analyzing outcomes to drive continuous improvement
  • Communicate insights and recommendations to senior management, providing a data-driven perspective on pricing and product development strategies

Requirements:
  • Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
  • 2+ years of experience in Data Science, Analytics or related field
  • Proficient programming skills with Python and the ability to write customized programs for meaningful data analysis
  • Experience working with relational databases, such as SQL
  • Excellent knowledge in applied statistical methods and machine learning models
  • Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment

Compensation:
The budgeted annual salary range for this position is$87,000 to $110,000 Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.
Benefits & Perks:
  • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option (U.S. Based employees only)
  • PTO & paid holidays off
  • Sabbatical program (for eligible roles)
  • Summer hours (for eligible roles)
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Charitable matching and a paid volunteer day...Plus so much more!

About Enova
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks-in order to create accessible credit for millions.
Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here.
It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

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