Radar LabsFraud Operations Manager
Radar Labs is hiring a Fraud Operations Manager in New York, United States. It pays $120k-$130k a year and Level rates it ; you can apply on Radar Labs.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions fraud detection, data analysis and risk management among its tools and skills.
- Level classes it as a mid-level role.
- Radar Labs has 19 other open roles on Level.
- Posted in the last few days.
AI in this role
Optimize anti-fraud solutions, analyze fraudulent behavior, and leverage AI automation tools to refine location-based fraud modeling.
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?
We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
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
Establish deep familiarity with Radar’s functionality and back office UX in order to enable customers to best-leverage the platform.
Proactively identify, analyze and document anomalous or fraudulent end-user behavior for our customers, and recommend platform optimizations to account for this behavior
Serve as the trusted subject-matter expert on fraud vectors for internal Radar teams and external customer fraud and risk teams
Leverage AI and other automation tools to analyze labelled datasets and extract key attributes that further refine Radar’s anti-fraud modeling
Develop a detailed understanding of end-user journeys across Radar’s customers to help map fraud vectors to specific action patterns
Ensure Radar stays abreast of fraud trends across core verticals and help us keep customers one step ahead of bad actors
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
Inform the creation of new product capabilities at Radar, or the optimization of existing ones, in order to address customers’ needs
Who you are
3-5 years in fraud operations, risk, or trust & safety at a bank, fintech, payments company, or online marketplace
Familiar with geolocation software and experience utilizing location data
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)
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
Will Green, Vice President of Fraud Operations and Partnerships
Kyler Day, Fraud Operations Lead
Nick Anasa, Fraud Operations Manager
Thomas Smith, Technical and Regulatory Affairs Lead
Nick Patrick, CEO
What we offer
Competitive salary
Meaningful stock options in a fast-growing company
401(k) plan with 4% match
New HQ in Flatiron, NYC
Top-notch equipment
Catered lunches
Unlimited PTO
Health, dental, and vision insurance with 100% coverage for employees
12 weeks of paid parental leave
Commuter and fitness benefits
How we rate this
Fraud Operations Manager at Radar Labs rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where fraud detection was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where customer support was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Fraud Detection, Data Analysis, Risk Management, and Customer Support. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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