Senior Data Scientist, Fraud Job at Robinhood (Menlo Park)

Senior Data Scientist, Fraud

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

187000.00 - 220000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation
Advanced proficiency in Python and SQL
experience with ML frameworks like XGBoost, LightGBM, or TensorFlow
Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing
Excellent communication skills and ability to influence decision-making across technical and non-technical audiences
A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments

Job Responsibility

Design and deploy fraud detection models to protect Robinhood users and assets in real time
Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response
Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability
Partner with engineering and product teams to implement safeguards and user-facing features
Guide experimentation strategy and contribute to long-term fraud prevention roadmap

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Senior Data Scientist

Are you brimming with fresh ideas to lead our Data Science team in providing dat...

Location

Belgium , Diegem

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 7+ years of experience in Data Science
Coordinate the development and implementation of solutions with machine and deep learning at our customers
Assess the quality and performance of existing predictive models
Lead a team of talented Data Scientists
Master's degree (or equivalent through experience) in a field that is highly data-driven
Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning
Experience in one of the following languages: Python, R, Spark, Scala, Java or C++
Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases
Well versed in open-source software and libraries in Python and/or R for machine and deep learning
Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus

Job Responsibility

Lead our Data Science team in providing data-driven solutions to our customers based on the latest machine learning models and deep learning algorithms
Apply skills to real scenarios and in different domains, such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector, and more

What we offer

Mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy
The opportunity to connect with fellow Sopra Steria colleagues at various team events

Fulltime

Data Scientist

We are seeking a passionate, data savvy Data Scientist to join the Analytics tea...

Location

United States , Columbus

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Master's degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If candidate has a PhD, no work experience is required
In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science
Experience with programming languages R or Python
Business intelligence and data mining tools Tableau and Tableau Server
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop

Job Responsibility

Synthesize data from our analytics tools into actionable insights about customer and prospect behavior, digital sales and servicing performance, and customer value delivery
Clearly communicate these recommendations to internal stakeholders and senior leadership
Actively participate in cross-functional initiatives, collaborating with team members to achieve and measure project success
Provide opportunity analysis, measurement plans, dashboards, and post-release/testing analyses
Ability to quickly grasp complex technical concepts and make them easily understandable through various communication mediums like visualizations and presentations
Extract and analyze data using analytics tools such as Python, R, and/or SAS
Create compelling, intuitive dashboards to enable the business with critical metrics, with a focus on data automation, anomaly detection, and actionable data visualizations
Partner with Digital, Marketing, Product and IT partners to evaluate the success of new initiatives
Collaborate with Fraud and Risk partners to identify and mitigate threats to assets
Apply visualization techniques to internal and external data sources to make accurate and actionable analyses in a timely fashion

What we offer

Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Fulltime

Senior Data Scientist, Payments & Fraud

As a Senior Data Scientist specializing in Payments & Fraud, you will play a piv...

Location

United States; Canada

Salary:

150000.00 - 207000.00 USD / Year

Lime

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related quantitative field
5+ years of industry experience as a Data Scientist, with a focus on payments, fraud detection, risk mitigation, or user trust
Deep understanding of probability and statistics, including causal inference and experimental design
Proficiency in SQL and Python, with end-to-end experience with data—including querying, data manipulation, aggregation, analysis, visualization, and model deployment
Machine Learning & Modeling: Strong understanding of predictive modeling, price elasticity estimation, and customer segmentation techniques
Business Acumen: Strong intuition for how pricing and loyalty strategies impact revenue, customer behavior, and long-term retention
Strong communication skills with the ability to convey technical concepts to non-technical stakeholders

Job Responsibility

Design and evaluate strategies to reduce fraud and abuse across promotions, referrals, refunds, and payment flows
Develop and improve machine learning models, rules-based systems, and heuristics to detect high-risk behavior while minimizing false positives
Analyze experimental and observational data using A/B testing and causal inference to measure the effectiveness of interventions in payments and fraud prevention
Identify and quantify key friction points in the payments funnel (e.g., latency, failure rates, PSP routing), and partner with Engineering to improve reliability and speed
Build dashboards, reports, and self-serve tools to empower teams with visibility into fraud trends, payment performance, uncollected revenue, and risk tradeoffs
Collaborate on incident response and root cause analyses for fraud and abuse events, ensuring rapid mitigation and long-term prevention
Stay informed on evolving fraud tactics, risk mitigation techniques, and payment technologies to proactively shape Lime’s strategy

What we offer

Comprehensive Health & Wellness: A choice of medical, dental, and vision plans. We also provide company-paid life and disability insurance and company-funded mental health benefits
Financial & Retirement Planning: 401(k) plan with both pre-tax and Roth options, and access to a Health Savings Account (HSA) with a monthly company contribution
Family & Fertility Support: Paid parental leave for birthing and non-birthing parents, plus fertility and family-forming benefits
Paid Time Off: Unlimited vacation, paid leaves, and 10 company holidays
Unique Lime Perks: Complimentary use of Lime vehicles in participating cities, a monthly phone allowance, dedicated learning and development days, and access to perks including One Medical, Wellhub, and Headspace
Offers Equity
Offers Bonus

Fulltime

Senior Data Scientist, Analytics (Risk & Fraud)

Airwallex is building a centralised risk platform that will harness advanced ana...

Location

China , Shanghai

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
Experience building visualizations using large datasets and multiple data sources using Looker or Tableau

Job Responsibility

Craft and refine risk strategies which include defining risk controls, the customer experience and operational workflows with emphasis on minimizing the impact on customers, our brand and organizational critical metrics
Use data driven insights to seize opportunity, measure performance and to determine what is working and what is not working
Monitor performance of existing & new solutions and optimize to ensure desired results
Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
Collaborate with partners in Platform, Operations and other internal teams, as well as external partners like data vendors to formulate and execute fraud risk solutions

Fulltime

Commercial Card Fraud Innovation Strategy Leader

The Commercial Card Fraud Strategy Leader leads the end‑to‑end strategy, analyti...

Location

United States , Columbus; Philadelphia; Chicago; Short Hills; Glen Allen; Westwood; Irving; Pittsburgh; Mason; Melville; Ohio; Remote

Salary:

146000.00 - 178000.00 USD / Year

Citizens Bank

Expiration Date

April 30, 2026

Requirements

10+ years of experience in fraud strategy, fraud prevention, data analytics, or risk management
5+ years of experience in fraud risk management at commercial card issuers
Deep expertise in identity and payment fraud methods, tools, and processes for prevention, detection, and fraud operations
Advanced proficiency in data science techniques, including machine learning, predictive modeling, and statistical analysis
Experience with fraud detection platforms, rule engines, and data visualization tools
Strong understanding of payment processing systems, card networks, and risks specific to card transactions and corporate expense management
Excellent analytical, organizational, and problem-solving skills
Strong verbal and written communication skills, with the ability to present requirements and issues clearly
Ability to lead multiple projects simultaneously, prioritize effectively, and thrive in a fast-paced, evolving environment
Proficiency in MS Office suite and analytical tools such as Python, R, SQL, and/or SAS

Job Responsibility

Lead end-to-end reviews of current fraud and credit risk management capabilities, strategies, and controls
Oversee and monitor the Commercial Credit Card portfolio to reduce credit and fraud losses, mitigate employee misuse, and balance customer experience
Identify risks, develop controls, and evaluate their effectiveness, escalating issues as appropriate
Deliver timely escalation of risk issues to senior management and collaborate on action plans
Build and mentor a team of data scientists and analysts to develop and implement advanced machine learning and statistical models for fraud detection and prevention
Drive portfolio fraud analytics across customer segments, providing actionable insights for risk strategies
Develop predictive models to monitor and mitigate emerging fraud threats, integrating real-time detection with engineering and IT teams
Use data-driven insights to recommend improvements to fraud prevention systems and technologies
Develop a comprehensive fraud risk management program for Commercial Card and Expense products, including key indicators for tracking and reporting
Partner with internal stakeholders, external vendors, and customers to launch and update risk controls across products

What we offer

Competitive pay
comprehensive medical, dental and vision coverage
retirement benefits
maternity/paternity leave
flexible work arrangements
education reimbursement
wellness programs
paid time off policy exceeds mandatory requirements

Fulltime

Senior Data Scientist, Analytics (Risk & Fraud)

Airwallex is building a centralised risk platform that will harness advanced ana...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
Experience building visualizations using large datasets and multiple data sources using Looker or Tableau

Job Responsibility

Craft and refine risk strategies which include defining risk controls, customer experience and operational workflows, with emphasis on minimizing the impact on customers, our brand and organizational critical metrics
Use data driven insights to seize opportunity, measure performance, and determine what is working and what is not working. Monitor performance of existing & new solutions and optimize to ensure desired results
Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
Collaborate with partners in Platform, Operations and other internal teams, as well as external partners like data vendors to formulate and execute fraud risk solutions

Fulltime

Merchant and Loyalty Rewards Integrity Manager Senior Vice President

The Merchant and Rewards Integrity Manager will lead enterprise efforts to stren...

Location

United States , Jacksonville; San Antonio; O'Fallon; Tampa; Florence; Johnson City; Sioux Falls; New Castle

Salary:

130880.00 - 196320.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years relevant experience
Experience in fraud risk, business impersonation, merchant fraud, product risk, payments, and rewards and loyalty ecosystems, payment
Experience with product management or product risk is desirable.
Expertise in the following would be beneficial: Fraud Awareness and Risk Management Operations and Systems (Information Security Standards, Vendor/Outsourcing Management and MCA Legal and Regulatory Compliance Management of a global operations and a complex environment that includes global teams.
Excellent communication skills – verbal & written
Bachelor’s/University degree, Master’s degree preferred

Job Responsibility

Lead and develop a multidisciplinary team of data scientists, data analysts, and fraud strategy professionals.
Strengthen merchant and rewards risk controls to detect, analyze, and enhance enterprise safeguards related to merchant impersonation, inauthentic business entities, loyalty rewards exploitation.
Lead data scientists in developing and optimizing behavioral anomaly detection, fraud detection, and entity linkage and network analysis,
Translate risk typologies into scalable detection strategies
Improve precision and recall of merchants and rewards monitoring controls.
Establish measurable performance indicators across merchant and rewards risk domains.
Oversee intelligence monitoring across digital channels and relevant marketplaces to identify emerging merchant and rewards trends and exploitation patterns
Partner with Product and Marketing Teams to embed risk considerations into launches and promotions.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Senior Data Scientist, Fraud

Robinhood

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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Job Posted:February 18, 2026

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