Level

PwC

Financial Risk Management - Risk Data Transformation Senior Manager

PwC is hiring a Financial Risk Management - Risk Data Transformation Senior Manager in New York, United States. It pays $124k-$280k a year and Level rates it ; you can apply on PwC.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions visa sponsorship.
  • Level classes it as a senior role.
  • PwC has 3,800+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Industry/Sector

Banking and Capital Markets

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

The Opportunity

As a Financial Risk Management - Risk Data Transformation Senior Manager you will lead data and analytics efforts that help clients improve risk reporting, data quality, and decision support across financial risk functions. As a Senior Manager you will apply sound judgment, guide complex work, and shape outcomes through clear communication, coaching, and strategic thinking while developing teams and supporting client conversations. In this role at PwC, you will focus on transforming risk data into usable insights, bringing structure to complex data environments, and helping teams turn business needs into practical analytics solutions within our Advisory practice.

Responsibilities

- Leading risk data transformation initiatives across banking and capital markets client engagements
- Advising clients on data, analytics, and technology approaches that modernize financial risk management processes
- Managing complex workstreams involving capital, liquidity, credit risk, and asset-liability management data
- Developing analytics and reporting solutions that support regulatory change, risk monitoring, and decision-making
- Applying systems thinking to identify data quality gaps, process inefficiencies, and transformation opportunities
- Guiding teams in building scalable data models, dashboards, and automated reporting capabilities
- Validating outputs with clients and adjusting deliverables based on feedback and changing business needs
- Coaching team members through ambiguous situations while driving progress across multiple priorities
- Communicating clear, compelling findings that connect technical analysis to business impact
- Modeling professional and technical standards while contributing to diverse, inclusive team performance

What You Must Have

- At least a Bachelor's degree
- At least 7 years of experience

What Sets You Apart

- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Demonstrating financial risk data transformation experience within banking
- Applying data analytics and visualization skills to risk reporting
- Translating complex risk and regulatory data into clear stories
- Leading client-facing workshops across risk, data, and technology teams
- Coaching teams through ambiguity while driving process improvement
- Deepening knowledge of risk technology, modeling, and analytics

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

How we rate this

Financial Risk Management - Risk Data Transformation Senior Manager at PwC rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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