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Senior Risk Operations Manager

Local Operations, Operations
in Istanbul, Turkey

About the Role

We are looking for a Senior Regional Operations Manager who will be assessing, managing and minimizing fraud (both financial fraud and marketplace risk) in EMEA.

This is a critical role for the business, it offers the opportunity to manage fraud across Lines of Business (LOB).

  • It's an operations-driven role that calls for a combination of data analytic skills with creative problem solving, detail oriented responsibility, and interpersonal ability to nurture and guide teams to take fraud management to the next level.
  • This is a challenging role in a high-growth environment; this person will work together with the Risk teams in EMEA countries, with headquarters-based engineering, product, and data science teams. This role will contribute enormously to the sustainable growth of the Uber business.

What You'll Do

  • Focus: The main issues will be to reduce Financial Fraud, Chargebacks, Cash Arrears, Refunds and Appeasements, Promo Abuse, Did Not Settle…
  • Develop & Optimize Processes - Develop and implement new risk mitigation solutions and frameworks that improve our ability to detect, measure and intervene against fraudulent activity, including better operational processes, automated systems and upstream design solutioning.
  • Analytics - Analysis of databases using SQL or Python to review earner, spender and merchant fraud related metrics to properly detect fraud and ensure high-quality experiences on the Uber system.
  • Strategy - Choose which projects the team should prioritize, and set a timeline to reach goals quickly.
  • Product Improvement - Evaluate risk potential of new product features or business lines and inform decision-making at the design and roll-out stages.

What You'll Have

  • Experience with SQL and/or development experience in one scripting language (ideally Python, but R is also considered).
  • Problem solving - Being able to solve issues that involve people and processes by using logic, common sense and data. Identifying the root cause of a problem as opposed to focusing on the symptoms.
  • 5+ years of high performing work experience in Risk, Online Retailers, startup, strategy, operations, analytics, business development, or a variety of other specialty roles with demonstrated ability in quantitative fields.

Preferred Qualifications

  • Quantitative data analysis, deep actionable insights, modelling, and advanced test plan design and analysis experience.
  • Ability to take initiative in a constantly-changing work environment while maintaining flexibility and a collaborative attitude and to drive analysis, get into conclusions and be able to present them to different Stakeholders.
  • Capacity of understanding business decisions implications and their effects on the financials, particularly regarding risk / fraud topics.
  • Good communication skills that will allow you to clearly explain your work and to participate in constructive debate.
  • Stakeholder management.
  • Experience in creating and optimizing processes.
  • MBA graduate or quantitative Bachelor's degree (engineering, mathematics, finance, economics, physics, etc.).

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.


See our Candidate Privacy Statement

Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.

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아랍어, العربية아삼어, অসমীয়া아제르바이잔어, Azərbaycanca불가리아어, Български벵골어, বাংলা카탈로니아어(스페인), Català (Espanya)체코어, Čeština덴마크어, Dansk독일어, Deutsch그리스어, Ελληνικά영어, English스페인어, Español (Internacional)스페인어, Español (Argentina)스페인어, Español (Chile)스페인어, Español (Colombia)스페인어, Español (Costa Rica)스페인어(유럽), Castellano스페인어, Español (Honduras)스페인어, Español (México)스페인어, Español (Uruguay)에스토니아어, Eesti핀란드어, Suomi프랑스어(캐나다), Français (Canada)프랑스어, Français (France)히브리어, עברית힌디어, हिन्दी크로아티아어, Hrvatski헝가리어, Magyar인도네시아어, Bahasa Indonesia이탈리아어, Italiano일본어, 日本語조지아어, ქართული칸나다어, ಕನ್ನಡ한국어, 한국어쿠르드어, کوردی리투아니아어, Lietuvių라트비아어, Latviešu말라얄람어, മലയാളം마라티어, मराठी노르웨이어(보크말), Norsk Bokmål네팔어, नेपाली네덜란드어, Nederlands펀잡어, ਪੰਜਾਬੀ폴란드어, Polski포르투갈어(브라질), Português (Brasil)포르투갈어(유럽), Português (Portugal)루마니아어, Română러시아어, Русский싱할라어(스리랑카), සිංහල슬로바키아어, Slovenčina슬로베니아어(슬로베니아), Slovenščina스웨덴어, Svenska스와힐리어, Kiswahili타밀어, தமிழ்텔루구어, తెలుగు태국어, ไทย터키어, Türkçe우크라이나어, Українська우르두어, اردو베트남어, Tiếng Việt중국어, 简体中文중국어(홍콩[중국 특별행정구]), 香港中文중국어(대만), 繁體中文