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Anti-Fraud Data Analyst - USDS

TikTok

Anti-Fraud Data Analyst - USDS

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$106,400 - $232,223

Benefits & Perks

401(k) matching

Generous paid time off and holidays

Parental leave

Flexible work arrangements

Team events and activities

Competitive salary and equity package

Parental Leave

Flexible Hours

Equity

Required Skills

JavaScript

Node.js

PostgreSQL

Responsibilities

Team Intro

Governance and Experience is a global team responsible for ensuring our marketplace is safe and trustworthy for not only users but also sellers and creators. We value user satisfaction and work on policies, rules, and systems to ensure quality.

Key Responsibilities

  • Manage end-to-end, large-scale quantitative analysis projects and monitoring systems
  • Apply investigational and analytical skills to monitor, audit, and analyze potential fraudulent cases and develop anti-fraud rules
  • Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management
  • Understand the trends and telemetry of fraudulent activities in each market and design effective monitoring tools to mitigate fraud
  • Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented
  • Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences
  • Communicate findings and complex results to key stakeholders and manage timelines of key projects
  • Collaborate with cross-functional teams to come up with data-driven solutions
  • Provide data-driven guidance on fraud policies and enforcement measures to influence key stakeholders

Qualifications

Minimum Qualifications

  • Bachelor's degree
  • Proficient in SQL and familiar with Python or R for data analysis
  • 1+ years of relevant experience in one of the following areas: Anti-fraud, Financial Services, Risk Management, Trust & Safety, Data Analytics, Data Science in e Commerce or Tech industry in general
  • Excellent communication with the ability to work with global teams with little supervision
  • Intellectually curious, data-driven, result-oriented, and has a high desire to learn and contribute
  • Ability to navigate ambiguity and show good judgement
  • Willingness to travel 10-20% if needed

Preferred Qualifications

  • Bachelor's degree in mathematics, statistics, computer science, engineering is preferred

Compensation and Benefits

Salary

The base salary range for this position in the selected city is $106,400 - $232,223 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Los Angeles County (Unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
  2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
  3. Exercising sound judgment

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures