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Assistant Data Science Trading Jobs (NOW HIRING)

... Data Science Director to help shape our Risk & Trading team at America's #1 Sportsbook. The role ... You will be a key member of the Risk & Trading leadership team , partnering closely with Trading ...

Data Science Manager

New York, NY · On-site

$210K - $230K/yr

Unlike most publicly traded companies, we're nimble and efficient. We take pride in the fact that ... You'll sit within our Data Science team, owning the direction of a group of talented data ...

Data Science Intern

Chicago, IL · On-site

$1.20K/wk

What you'll do as a Data Science Intern at Rundoo * Analyze data on product, sales and GTM ... Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater ...

... assist technologies, intelligent routing, operational optimization, forecasting, and emerging ... Communicate complex technical concepts, business insights, trade-offs, and recommendations ...

... assist technologies, intelligent routing, operational optimization, forecasting, and emerging ... Communicate complex technical concepts, business insights, trade-offs, and recommendations ...

In this role, you will lead a team of Data Scientists and Machine Learning Engineers. You will collaborate with multi-functional partners to build, develop, and deploy machine learning and data ...

In this role, you will lead a team of Data Scientists and Machine Learning Engineers. You will collaborate with multi-functional partners to build, develop, and deploy machine learning and data ...

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How much do assistant data science trading jobs pay per hour?

As of May 30, 2026, the average hourly pay for assistant data science trading in the United States is $20.75, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $27.64 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant Data Science Trading professional, and why are they important?

To thrive as an Assistant Data Science Trading professional, you need a strong background in statistics, mathematics, and programming (typically with a degree in a quantitative field). Familiarity with tools such as Python, R, SQL, and data visualization platforms, as well as experience with trading systems or financial modeling, are highly valued. Strong analytical thinking, attention to detail, and effective communication help distinguish top candidates in this role. These skills ensure accurate data-driven insights, effective collaboration, and the ability to contribute meaningfully to trading strategies in fast-paced financial environments.

What are some common challenges faced by Assistant Data Science Trading professionals, and how can they be overcome?

Assistant Data Science Trading professionals often encounter challenges such as quickly adapting to rapidly changing market data and integrating complex datasets from multiple sources. They may also face pressure to deliver accurate, timely insights to support trading decisions. Overcoming these challenges requires strong collaboration with senior data scientists and traders, as well as continual learning of new analytical tools and financial concepts. Building robust data validation processes and maintaining clear communication within the team can also help ensure reliability and efficiency in their daily work.

What is an Assistant Data Science Trading role?

An Assistant Data Science Trading role involves supporting the development and implementation of data-driven trading strategies in financial markets. Professionals in this position typically assist senior data scientists and traders by analyzing large datasets, building predictive models, and automating trading processes. They also help in interpreting data patterns, preparing reports, and maintaining trading algorithms to optimize performance. This role requires strong analytical skills, proficiency in programming languages such as Python or R, and a solid understanding of financial markets and statistics.

What is the difference between Assistant Data Science Trading vs Data Analyst?

AspectAssistant Data Science TradingData Analyst
Required CredentialsBachelor's in Data Science, Finance, or related fields; some certificationsBachelor's or higher in Data Analysis, Statistics, or related fields
Work EnvironmentFinancial firms, trading desks, data-driven trading teamsCorporate, finance, marketing, or consulting firms
Employer & Industry UsageFinance, trading, hedge funds, investment banksVarious industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding entry-level roles in trading-focused data scienceAnalyzing data to inform business decisions

Assistant Data Science Trading roles focus on supporting trading strategies using data science techniques within financial firms, often requiring knowledge of finance and trading environments. Data Analysts have broader roles across industries, analyzing data to help businesses make informed decisions. While both roles involve data skills, Assistant Data Science Trading positions are more specialized towards finance and trading activities.

What cities are hiring for Assistant Data Science Trading jobs? Cities with the most Assistant Data Science Trading job openings:
What are the most commonly searched types of Data Science Trading jobs? The most popular types of Data Science Trading jobs are:
What states have the most Assistant Data Science Trading jobs? States with the most job openings for Assistant Data Science Trading jobs include:
Infographic showing various Assistant Data Science Trading job openings in the United States as of May 2026, with employment types broken down into 17% As Needed, 17% Full Time, and 66% Contract. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $43,170 per year, or $20.8 per hour.
Risk Data Science, Director

Risk Data Science, Director

FanDuel

Jersey City, NJ

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


FanDuel rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

2nd of 15 rated gambling companies


Job description

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Risk Data Science Director to help shape our Risk & Trading team at America's #1 Sportsbook. The role will include evolving customer and revenue outcomes through profiling and automation, owning the risk operating model, and ensuring a consistent, scalable approach to risk management across regions. You will leverage cutting edge tools and subject-matter expertise to ensure a best-in-class betting experience for our customers.  

The role requires a strong knowledge of sports betting proven management experience. You will be a key member of the Risk & Trading leadership team, partnering closely with Trading, Quants, Analytics, Product, Compliance, and Growth team leaders to define priorities, drive cross-functional execution, and continuously improve how we manage risk. The role requires comfort operating in a fast-moving environment and will include work outside of normal business hours, including weekends. 

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

Lead the Risk Data Science team 

  • Manage and develop a team of data scientists focused on customer risk profiling, anomaly detection, and risk automation across regions (e.g., Dublin/Melbourne/NJ), including hiring, onboarding, and long-term capability building. 
  • Set clear priorities, ensure role clarity, and drive measurable outcomes across the team. 
  • Build a culture of continuous improvement and accountability, focused on best-in-class technical standards and practices. 

Drive risk data science strategy and execution 

  • Develop and drive risk data science strategy across Sportsbook aligned to business and product goals (revenue, margin, customer outcomes, responsible gaming, compliance). 
  • Partner with data engineering to modernize data infrastructure, reduce tech debt, and build scalable pipelines. Advance automation throughout risk operations. 
  • Support the risk operating model, including governance, decision forums, escalation mechanisms, and performance management cadence, with an eye toward improving inefficiencies. 
  • Establish clear, communicated policies and standards across regions (risk tolerance, profiling, errors, mitigation actions), ensuring consistent interpretation and execution. 
  • Develop strategies to derive and apply insights from bet information to improve pricing accuracy 

Deliver measurable business outcomes 

  • Quantify the commercial impact of risk data science work - connect models and analyses to revenue, margin, and customer outcomes. 
  • Own delivery and adoption of enhancements to profiling strategies, segmentation, monitoring, and interventions-balancing performance with customer-first principles. 
  • Define success metrics and create consistent performance reporting for risk data science initiatives. 

Cross-functional leadership 

  • Serve as the primary risk data science partner to Risk Operations, Trading, Growth, Product, and Compliance teams. 
  • Work closely with the broader Sportsbook data science organization to leverage shared data, models, and tooling. 
  • Contribute to broader business initiatives (e.g., new state rollouts, new product or promotion launches), ensuring risk readiness and operational scalability. 
  • Provide strong thought leadership and communication across the department and broader organization, translating complex risk topics into clear executive narratives. 

THE STATS
What we're looking for in our next teammate

  • Significant experience in the sports betting or online gambling industry - deep understanding of sportsbook economics, pricing, customer behavior, risk management, and the competitive landscape. 
  • Proven experience leading data science or analytics teams (5+ direct/indirect reports) with a strong technical background in statistical modeling, machine learning, and computer science. 
  • Demonstrated ability to quantify and communicate the commercial impact of analytical work - connecting models to revenue, margin, and customer outcomes. 
  • Experience working with data engineering teams to build and maintain production data pipelines; familiarity with Databricks, Python, SQL, and modern data science tooling. 
  • Strong stakeholder management skills with the ability to influence across Trading, Product, Tech, Compliance, and Growth team leadership. 
  • Experience with customer profiling, segmentation, automation, or fraud detection 
  • Experience working with live sports data 
  • Collaborative, low-ego leadership style; role-models FanDuel values and builds trust across functions. 

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

The applicable salary range for this position is $197,000 - 246,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid