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Rippling
Rippling

All-in-one platform for HR, IT, and Finance

Quality Control Specialist (Risk & Compliance)

职能法务
级别中级
地点Bengaluru, India
方式现场办公
类型全职
发布2个月前
立即申请

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.

The Mission: You are the first line of defense in ensuring our operations are airtight. You’ll dive deep into individual cases to ensure our analysts followed the playbook to the letter.

Key Responsibilities

  • Perform rigorous reviews of completed Fraud and KYC reviews based on established rubrics.
  • Identify root causes of inaccuracies (e.g., training gaps, system bugs, or policy ambiguity) and document them clearly.
  • Provide constructive, objective feedback to operational analysts to help them improve their accuracy and decision-making.
  • Support the QC Manager in "deep dive" audits when specific risk trends emerge.
  • Ensure all documentation meets the standards required for external audits and regulatory exams.

What You Bring

  • 4+ years of hands-on experience in Fraud investigations and KYC reviews.
  • An innate ability to spot inconsistencies that others might miss.
  • Outstanding communications skills, with the ability to tell an analyst they made a mistake in a way that is professional, clear, and helpful.
  • You’re comfortable managing a high volume of reviews without sacrificing the quality of your assessment.

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.

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关于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

员工数

San Francisco

总部位置

$11.25B

企业估值

评价

1条评价

2.7

1条评价

工作生活平衡

2.5

薪酬

3.0

企业文化

2.5

职业发展

4.0

管理层

2.5

35%

推荐率

优点

Potential for multiple promotions

Career advancement opportunities

缺点

Work-life balance concerns

Negative company reputation

Poor employee satisfaction

薪资范围

3个数据点

Intern

Intern · Data Scientist

0份报告

$190,000

年薪总额

基本工资

-

股票

-

奖金

-

$161,500

$218,500

面试评价

3条评价

难度

3.3

/ 5

时长

14-28周

面试流程

1

Application Review

2

Technical Phone Screen

3

Virtual Onsite Interviews

4

Final Decision

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design