Senior Analyst, IT Financial Risk Management - Data Analytics
Accounting, Finance & Accounting in San Francisco, CA
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
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.
About the Role
This position will be focused on coordinating and building a world class IT risk management program for Uber’s finance function, working with the other arms of the Finance Risk Management team to develop an integrated risk and controls program to respond to existing and emerging risks.
This role requires the candidate to gain an understanding of Uber’s complex IT environment and building relationships with Engineering, Data Platform teams. This role will work towards designing tools, analytics and automation to develop data insights in support of risk management across Uber's key lines of business (Rides, EATs, Freight, Jump, U4B).
What You’ll Do
Build analytics and automation using Uber’s internally developed technologies to support IPO readiness / financial processes (SOX) in support of maturing Uber's internal controls environment.
Work in cross-functional teams including engineering, product management, sales operations and finance to improve the effectiveness of Uber’s governance, risk management, and internal control activities
Identify possibilities for automation in business / IT processes as well as develop repeatable/automated audit procedures to find simple solutions for complex problems
Partner with Engineering, Security & Compliance to drive operational efficiency by maintaining data ecosystems for internal controls, sourcing analytics expertise and providing offerings for continuous monitoring, insights and improvements of risks at Uber
Assist in the development of a global internal controls program across Uber. Identify financial, operational, compliance risks through assurance and consulting activity
What You'll Need
Bachelor's degree in Information Systems, Computer Science or Accounting preferred
Have or pursuing certification in 1 or more of the following: CPA, CISA, CISSP, or CIA
Passionate and willingness to learn in a challenging and continuously evolving environment
At least 3 years audit or controls experience with analytics & automation of execution & documentation of IPO readiness reviews and implementation of internal controls
Demonstrated experience using SQL, Python, or R for data normalization, ETLs and automation
Use of open source analytical packages
Experience with DevOps technology such as build automation, automated testing, CACMs is a plus
Process management experience, including process redesign and optimization
Experience with information technology general controls and automated business process controls and concepts
Experience with homegrown applications in a micro-services/dev-ops environment
Working knowledge of US GAAP, SEC reporting requirements, COSO, SOX requirements, including PCAOB Auditing Standards, IIA standards and audit processes and procedures is a plus
Ability and willingness to travel (up to 25 percent)
What You’ll Need
3 Minimum Years of Experience with SQL, Python
About the Team
The Financial Risk Management (FRM) team will be focused on coordinating and building a world class IT risk management program for Uber’s finance function, working with the other arms of the team to develop an integrated risk and controls program to respond to existing and emerging risks. This role has the unique opportunity to shape Uber's Engineering and Product Orgs compliance programs.
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. 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 or Veteran status.