636 jobs for "Data Risk Manager"

Senior Manager, Data Science - Model Risk

At Capital One - Richmond · New York

Posted on Nov 1

View job Apply on company site

Manager, Data Science - Model Risk Office

At Capital One - McLean · Riverwoods

Posted on May 23

View job Apply on company site

Senior Associate, Project Manager - Commercial Digital Banking Well-Managed Team

At Capital One - McLean · Charlotte

Posted on Nov 7

View job Apply on company site

Logistics Risk Data Analyst Project Intern (TikTok Shop) - 2026 Start

At TikTok

Posted on Aug 4

View job Apply on company site

Customer Success Manager, Credit Risk

At Mastercard - São Paulo

Posted on Oct 6

View job Apply on company site

Senior Risk Associate- Global Payments Network

At Capital One - McLean · Chicago

Posted on Oct 29

View job Apply on company site

Senior Manager, Quantitative Analysis - Model Risk Office

At Capital One - McLean

Posted on Oct 16

View job Apply on company site

Data Analysis Manager - Office of the Chief Data Officer, Central Analytics

At Capital One - McLean

Posted on Sep 24

View job Apply on company site

Manager, Quantitative Analysis - Model Risk Audit

At Capital One - McLean · New York

Posted on Sep 12

View job Apply on company site

Manager, Quantitative Analysis - Model Risk Office

At Capital One - New York

Posted on Mar 21

View job Apply on company site

Senior Manager, Quantitative Analysis - Model Risk Office

At Capital One - McLean · Riverwoods

Posted on Aug 22

View job Apply on company site

Data Support Manager

At Bank of America - Jersey City · Charlotte

Posted on Nov 3

View job Apply on company site

TikTok Shop - Category Specific User Rights & Customer Trust Program Manager

At TikTok - Seattle

Posted on Nov 3

View job Apply on company site

Senior Catastrophe Risk Analyst

At The Hartford - Hartford

Posted on Oct 29

View job Apply on company site

Senior Manager, Data Science and Machine Learning

At Squarespace - New York City

Posted on Oct 14

View job Apply on company site

Principal Cybersecurity Asset Intelligence

At Cummins - Columbus

Posted on Nov 4

View job Apply on company site

Total Portfolio Analytics & Investment AI Strategy Lead

At Northwestern Mutual – Corporate Careers - Milwaukee

Posted on Nov 5

View job Apply on company site

Supplier Program Manager

At Leidos - Huntsville

Posted on Nov 3

View job Apply on company site

Analyst, Investment Operations (iRisk Data Integrity) | PGIM Ireland

At Prudential Financial - Letterkenny

Posted on Oct 30

View job Apply on company site

Manager, Data Center Critical Facilities

At Equinix

Posted on Nov 4

View job Apply on company site

TikTok

Logistics Risk Data Analyst Project Intern (TikTok Shop) - 2026 Start

SingaporeOperationsPosted Aug 4, 2026

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

About the Team
TikTok Shop's Governance and Experience (GNE) is a global team responsible for ensuring our marketplace is safe and trustworthy for not only our users, but also sellers and creators. We value user satisfaction and work on policies, rules, and systems to ensure quality. Our mission is to provide world-class service and experience for customers, sellers, and creators.

Role Overview
TikTok Shop is TikTok's global e-commerce platform that connects consumers, creators, and merchants across the world through immersive content experiences.
Our Singapore-based Logistics Risk team safeguards the integrity of TikTok Shop's global logistics ecosystem, supporting key markets across the US and EMEA. We leverage large-scale data analytics, risk intelligence, and AI technologies to detect emerging logistics fraud, optimize risk strategies, and minimize platform financial losses while ensuring a secure and trustworthy fulfillment experience.

As a Logistics Risk Data Analytics Intern, you will work closely with Risk Strategists, Product Managers, Data Scientists, and Engineers to analyze complex logistics data, uncover fraud patterns, and develop data-driven risk solutions. This role offers hands-on experience across the full lifecycle of logistics risk management-from risk investigation and strategy development to performance evaluation and cross-functional implementation.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.

Job Responsibilities
1. Data Exploration & Risk Signal Mining
- Analyze large-scale carrier, order, and merchant data to identify abnormal patterns and uncover emerging logistics fraud signals. Transform complex datasets into actionable insights that support risk detection and strategy development.
2. Risk Investigation & Root Cause Analysis
- Conduct in-depth investigations into logistics risk scenarios, including fake tracking, postage fraud, and compensation abuse. Summarize fraud patterns and support the continuous evolution of risk strategies.
3. Strategy Analysis & Performance Evaluation
- Monitor key logistics risk metrics and evaluate the effectiveness of existing risk control strategies through data analysis. Identify coverage gaps and recommend optimization opportunities to improve recall, precision, and operational efficiency.
4. Cross-functional Collaboration
- Partner with Risk Strategy, Platform Product, Engineering, Data Science, and Algorithm teams to support strategy implementation, experiment analysis, and data-driven decision making.
5. AI & Risk Innovation
- Explore the application of Large Language Models (LLMs) and AI tools to improve fraud investigation, knowledge management, and analytical efficiency across logistics risk scenarios.

What You'll Gain
- Gain hands-on experience solving real-world logistics fraud and risk problems on a global scale.
- Work with cutting-edge technologies including AI, LLMs, and large-scale data analytics.
- Receive mentorship from experienced logistics risk strategists and participate in the full lifecycle of risk strategy development.
- Develop strong cross-functional collaboration skills by working with global teams.

Qualifications

Minimum Qualification(s):
- Currently pursuing a Bachelor's or above degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Supply Chain, Logistics, or related disciplines.
- Strong SQL skills with the ability to independently extract, clean, and analyze large datasets.
- Familiarity with Python (Pandas, NumPy, etc.) or R for data analysis.

Preferred Qualification(s):
- Strong analytical thinking, structured problem-solving ability, and attention to detail.
- Self-motivated, curious, and eager to learn in a fast-paced environment.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s):
- Currently pursuing a Bachelor's or above degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Supply Chain, Logistics, or related disciplines.
- Strong SQL skills with the ability to independently extract, clean, and analyze large datasets.
- Familiarity with Python (Pandas, NumPy, etc.) or R for data analysis.

Preferred Qualification(s):
- Strong analytical thinking, structured problem-solving ability, and attention to detail.
- Self-motivated, curious, and eager to learn in a fast-paced environment.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

View company profile