招聘

Regional Risk Lead, India & South Asia
Bangalore, India; Gurgaon, India; Hyderabad, India
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Parental Leave
•Flexible Hours
•Learning
Required Skills
Python
JavaScript
TypeScript
About the Role
The India & South Asia (InSA) Mobility business spans over 100 cities across three countries and is pivotal in Uber's growth, profitability, and innovation roadmap. This region presents a unique blend of regulatory, competitive, and growth challenges, offering immense opportunities to innovate and lead.
As the Regional Risk Lead, you will be partnering with the global risk team to build outstanding risk management experience across the entire user, merchant and driver lifecycle to ensure safe business growth in InSA
What You'll Do
- Drive down payments fraud, balancing customer experience: Take the lead to develop and deliver on a payments fraud strategy that continually drives down losses, whilst balancing with customer experience.
- Program manage fraud initiatives: Work closely with global, regional and local teams to drive large scale end-to-end strategic and tactical initiatives to mitigate fraud losses.
- Lead engagement with Mobility teams: Advise regional businesses on any potential risks to profitability and engage with ops teams across InSA to ensure awareness, alignment, and agreement on fraud & risk activities.
- Conduct risk assessment: Evaluate new products, features, campaigns, incentives and processes, provide data-driven input on risk control and influence/challenge key decisions to ensure adequate risk check and prevention are in place.
Basic Qualifications
- Bachelor's degree in Finance, Business, Information Technology, or a related field
- At least 5-7 years of experience in Trust and Safety, policy, cyber-security, business strategy, or related fields
- In-depth knowledge of fraud detection technologies and risk management practices
- Excellent analytical, problem-solving, and decision-making skills, with strong ability to drive results internally with global teams, while fostering a culture of local ownership and initiative
- Strong interpersonal and communication skills, with experience presenting complex, strategic initiatives to senior business leaders
Preferred Qualifications
- Skilled at addressing ambiguous challenges and defining strategies that clarify objectives, drive alignment, and yield measurable business impact
- Experience in managing payments risk in tech companies
- Ability to manage multiple stakeholders with varying priorities and drive creative solutions and commitment to a shared goal
- Expertise with quantitative tools such as SQL or Python
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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
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
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