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Head of LatAm Risk and Fraud - Payments

Uber

Head of LatAm Risk and Fraud - Payments

Uber

Mexico City, Mexico

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

401(k) matching

Team events and activities

Parental leave

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Parental Leave

Equity

Healthcare

Flexible Hours

Required Skills

Python

JavaScript

TypeScript

About the Role

As the Head of Lat Am Risk, you will lead Uber's largest scaled risk operations team tasked with detecting payment fraud (digital and cash), ATO response, abuse prevention, and policy enforcement across our global marketplaces. You'll partner closely with Regional General Managers, Country General Managers, Risk Leads, Product, Data Science, Policy and Regional Ops to ensure operational execution aligns tightly to the evolving threat landscape and business KPIs.
You will be directly accountable for ensuring that all operational metrics tied to fraud and abuse investigations are consistently met or exceeded. This includes driving vendor performance, maintaining high quality standards, and delivering outcomes within budgeted costs.

What You'll Do:

  1. Drive the LATAM Risk planning cycle (end to end): You will act as the primary liaison between Product, Decision Science, Local Teams, and Regional Risk Ops to ensure all initiatives are captured, prioritized, and tracked to build a strong roadmap and establish the foundation of key strategic priorities based on regional needs.
  2. Oversee all Risk KPIs to maintain losses under control: You'll own key P&L metrics such as Chargebacks, DNS, Arrears, Refunds and appeasements/promo/incentive abuse. You'll need to continuously and proactively monitor performance to ensure year-end targets are met. This role requires a deep understanding of LATAM fraud Modus Operandi, ranging from friendly fraud to GPS spoofing, collusion, and merchant fraud among others. Ensuring effective protection across all lines of business is a must.
  3. Partner with cross-functional teams (including Identity, Safety, and Operations): You'll need to address evolving and multi-layered fraud types that require coordinated solutions. Work quickly, iterate based on feedback, and deliver end to end responses. Positioned close to both frontline operations and strategic leadership, you will translate real-time fraud patterns into actionable improvements to detection and mitigation strategies, serving as the connective link between operational teams and rule creators to keep defenses up to date.
  4. Establish and operationalize advanced risk mitigation frameworks: You will proactively review our fraud deterrence and detection capabilities, with a strong emphasis on enabling growth through friction reduction, improved accuracy in decisioning, reducing false positives and providing a superior user experience, all achieved without compromising loss thresholds.
  5. Define regional standards: As a leader, you will define regional/global standards and elevate the overall performance of the team by fostering greater consistency, ensuring ongoing training, maintaining strong motivation, and sharpening focus, ultimately raising the bar for excellence.
  6. Drive automation initiatives and identify processes that can scale or sunset: In collaboration with Product and DS, you'll identify manual tasks that can be automated without compromising fraud accuracy.

What You'll Need:

  1. 10+ years experience in scaled operations, risk management, or trust & safety.
  2. Deep understanding of the Payments and Fraud ecosystem.
  3. Strong data literacy; can partner deeply with Data Science and Product.
  4. Experience in KPI ownership (chargebacks, ATO, abuse) and goal setting.
  5. Ability to navigate cross-functional stakeholder relationships across DS, Ops, Policy, and Engineering.
  6. Expert SQL proficiency.
  7. Excellent judgment, critical thinking, and decision-making skills.
  8. Ability to translate data findings into business strategy.
  9. Self-motivated with the ability to work independently.
  10. Ability to work closely with cross-functional stakeholders to execute decisions.
  11. Strong verbal and written communication, and presentation skills.
  12. Ambition and enthusiasm to seek opportunities to build value.
    1. Problem-solving
  • Able to solve high-complexity problems by using logic, common sense and data not only by identifying the root cause of a problem but also being capable of providing actionable insights and mitigation plans.
  1. MBA graduate or Bachelor's degree.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

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About Uber

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

Reviews

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Mid/L4

Mid/L4 · Data Analyst

3 reports

$209,300

total / year

Base

$161,000

Stock

-

Bonus

-

$203,580

$209,300

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge