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Senior Fraud Strategy & Analytics Manager

Rippling

Senior Fraud Strategy & Analytics Manager

Rippling

New York, NY

·

On-site

·

Full-time

·

5d ago

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

About the role

As the Senior Fraud Strategy & Analytics Manager, you will play a vital role in protecting our organization's integrity by developing and implementing strategies to address overall platform fraud risk, account takeover (ATO) fraud risk, suspicious activity detection, and fraud risk control related to product access and adverse actions. You will leverage your analytical skills and business acumen to build robust fraud prevention strategies, working closely with data science, security, product, and compliance teams.

What you will do

  • Develop and implement advanced fraud risk control strategies for ATO, platform suspicious activity detection, and financial product access.
  • Utilize SQL and Python to perform complex data analysis and derive insights for risk management and strategy development.
  • Design and refine fraud detection algorithms and rules to identify and mitigate suspicious activities across our platform.
  • Enhance policies and controls to prevent unauthorized account access and adverse actions, collaborating with security engineering to implement effective tracking and detection systems.
  • Conduct data-driven investigations and analyses to uncover fraud patterns and optimize detection methodologies.
  • Balance fraud prevention with user experience and operational efficiency, conducting cost-benefit analyses to inform strategic decisions.
  • Collaborate across teams, including Security, Sales, Customer Service, and Compliance, to enhance fraud monitoring and response capabilities.
  • Partner with R&D to design, build, and maintain tools for fraud detection and investigation, ensuring they meet evolving business needs.

What you will need

  • 8+ years of experience in fraud prevention and detection, with a focus on account security and platform risk management, ideally within the financial technology sector.
  • 3+ years people management experience.
  • Bachelor's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, or a related discipline); a Master’s degree is preferred.
  • Demonstrated expertise in data analysis and the ability to leverage SQL and Python for advanced fraud detection and strategy development.
  • Strong understanding of account takeover risks, suspicious activity patterns, and fraud prevention methodologies.
  • Familiarity with industry-leading tools and third-party risk vendors for fraud detection and analysis.
  • In-depth knowledge of industry regulations and compliance requirements related to fraud risk management.
  • Excellent communication and presentation skills, with the ability to articulate complex data insights and risk strategies to diverse stakeholders.

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.

A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

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About Rippling

Rippling

Rippling

Series C

Rippling is a privately owned international software company. Launched in 2017 in San Francisco, California, it operates a cloud-based software platform that allows businesses to manage their HR, finances, and IT matters.

501-1,000

Employees

San Francisco

Headquarters

$11.25B

Valuation

Reviews

4.0

2 reviews

Work Life Balance

3.0

Compensation

4.5

Culture

3.0

Career

3.5

Management

3.0

70%

Recommend to a Friend

Pros

High base salary

Strong stock compensation

Competitive total compensation

Cons

Lower signing bonus compared to competitors

San Francisco safety concerns

High cost of living

Salary Ranges

2 data points

Intern

Intern · Data Scientist

0 reports

$190,000

total / year

Base

-

Stock

-

Bonus

-

$161,500

$218,500

Interview Experience

5 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 80%

Negative 20%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

Virtual Onsite

5

Hiring Manager Interview

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design