
Fraud Operations Manager
New York, NYFull-time$120–130K/yrPosted todayStill listed today
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At a glance
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Job overview
Radar seeks a Fraud Operations Manager to help customers in banking, fintech, marketplaces, and real-money gaming use its location-based anti-fraud solutions. The role configures fraud rules, analyzes suspicious behavior and data, advises internal teams and customers, and informs product improvements. It reports to the Fraud Operations Lead and is based at Radar’s Flatiron, NYC headquarters, with office work Monday through Thursday and remote work available Fridays.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
About Radar Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams. Why is Radar the best place to work?
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We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
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We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
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We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
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We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
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We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
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We were recently named a top 10 best place to work in NYC by Crain's.
Despite our growth and scale, we're still just getting started. That's where you come in.
About the role We're looking for a Fraud Operations Manager to help our customers across banking, financial technology, online marketplaces, and real-money gaming maximize their use of Radar’s location-based anti-fraud solutions. You’ll work cross-functionally to ensure proper configuration of Radar's fraud rules engine, alerting and reporting; proactively enable stakeholders to utilize new features in Radar’s back office; surface fraud and operational insights through data analysis; and optimize customer implementation of the fraud products. As Radar expands its product offerings to support customers within banking, fintech, and marketplace verticals, this role will be critical to bringing non-gaming fraud expertise to our back office and to the customers we support in these new segments. You'll report to our Fraud Operations Lead. This is an in-office opportunity based out of our HQ in Flatiron, NYC. You'll work from the office Monday-Thursday with the opportunity to work remotely on Fridays.
What you'll do
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Establish deep familiarity with Radar’s functionality and back office UX in order to enable customers to best-leverage the platform.
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Proactively identify, analyze and document anomalous or fraudulent end-user behavior for our customers, and recommend platform optimizations to account for this behavior
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Serve as the trusted subject-matter expert on fraud vectors for internal Radar teams and external customer fraud and risk teams
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Leverage AI and other automation tools to analyze labelled datasets and extract key attributes that further refine Radar’s anti-fraud modeling
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Develop a detailed understanding of end-user journeys across Radar’s customers to help map fraud vectors to specific action patterns
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Ensure Radar stays abreast of fraud trends across core verticals and help us keep customers one step ahead of bad actors
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Own the fraud and risk relationship for an assigned portfolio of accounts, including leading recurring fraud syncs and partnering with Radar’s Customer Success and Solutions Engineering teams to elevate the customer relationship
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Inform the creation of new product capabilities at Radar, or the optimization of existing ones, in order to address customers’ needs
Who you are
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3-5 years in fraud operations, risk, or trust & safety at a bank, fintech, payments company, or online marketplace
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Familiar with geolocation software and experience utilizing location data
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Experienced with SQL to query and analyze data, diagnose root causes, and recommend operational or product improvements (advanced Google Sheets/Excel, Metabase, Tableau, Looker, or similar experience is a plus)
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Strong ability to articulate complex fraud problems to technical and non-technical stakeholders alike, especially the ability highlight why a particular fraud vector should matter to non-fraud stakeholders
Who you'll work with
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Will Green, Vice President of Fraud Operations and Partnerships
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Kyler Day, Fraud Operations Lead
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Nick Anasa, Fraud Operations Manager
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Thomas Smith, Technical and Regulatory Affairs Lead
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Nick Patrick, CEO
What we offer
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Competitive salary
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Meaningful stock options in a fast-growing company
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401(k) plan with 4% match
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New HQ in Flatiron, NYC
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Top-notch equipment
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Catered lunches
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Unlimited PTO
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Health, dental, and vision insurance with 100% coverage for employees
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12 weeks of paid parental leave
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Commuter and fitness benefits
How this job compares
Set against the 3,856 open Risk Management jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This posting$120–130K/yr
- New York median$130–198K/yr383 salary ranges
- US median$113–195K/yr2,874 salary ranges
This range's midpoint, $125K, is 26% below the New York median midpoint ($169K) — in the lowest quarter of Risk Management salary ranges in New York.
- Openings
- Olive Jobs lists 461 open Risk Management jobs in New York and 3,856 across the US. 3% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- JPMorgan Chase34 open
- Capital One30 open
- PwC28 open
- Experience
- Risk Management postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 8 years (3,418 postings).
- Education
- 1,634 of the 3,856 open Risk Management jobs (42%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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