PwC Logo

PwC

Financial Services - Data, Analytics, & Technology - Senior Manager

Posted 21 Hours Ago
Be an Early Applicant
Hybrid
6 Locations
124K-280K Annually
Senior level
Hybrid
6 Locations
124K-280K Annually
Senior level
Lead data, analytics, and technology efforts to drive insights for clients. Develop innovative solutions, coach teams, and address complex problems in the financial services sector.
The summary above was generated by AI
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
  • Craft and convey clear, impactful and engaging messages that tell a holistic story.
  • Apply systems thinking to identify underlying problems and/or opportunities.
  • Validate outcomes with clients, share alternative perspectives, and act on client feedback.
  • Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
  • Deepen and evolve your expertise with a focus on staying relevant.
  • Initiate open and honest coaching conversations at all levels.
  • Make difficult decisions and take action to resolve issues hindering team effectiveness.
  • Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor Degree
Minimum Year(s) of Experience:
7 year(s)
Preferred Qualifications:
Preferred Fields of Study:
Financial Mathematics, Mathematical Economics, Mathematical Statistics, Statistics, Applied Mathematics, Mathematics, Engineering ,Engineering and Business
Additional Educational Preferences:
Advanced Degree in Mathematics or other quantitative discipline
Preferred Knowledge/Skills:
Demonstrates intimate abilities with, and/or a proven record of success identifying and addressing client needs in the following areas:
  • Developing Credit and Capital models within the Financial Services sector, including; the Retail/ Commercial banking industry, consulting, or government regulatory positions;
  • Knowledge in following areas is preferred : securities and derivatives valuation and risk management, including retail and/or wholesale, market and credit risk models, mortgage prepayment models, and/or complex discounted cash flow models;
  • Demonstrating Credit/ Capital Modeling and Data Technology skills which can advise and work with clients to build, develop, and migrate Model environment to Cloud based Data science platforms;

  • Experience in statistical and machine learning techniques for analyzing large sets of financial data, including sampling, hypothesis testing, optimization; time series, regression, decision tree, and cluster analyses. Displays techniques for visualizing complex financial data analyses;

  • Knowledge in statistical modeling utilizing SAS or R software, Excel/VBA, SQL, Python and other programming languages and applications;

  • Experience on cloud-based data solutions using technologies like AWS, Azure, Data Bricks, Snowflake, or other AI/ML platforms like Dataiku;

  • Understanding of best practices across Data Lakes Data Warehouse and Data Analytics;

  • Displays ability to identify and address client needs, which includes building relationships with clients, developing an awareness of Firm services, approaching client in an organized manner, and delivering clear requests for information;

  • Provides problem solving skills, communicates effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;

  • Displays ability to research and analyze pertinent client, industry, and technical matters;

  • Demonstrates ability to contributes to a positive working environment by building relationships with team members; proactively seeking guidance, clarification and feedback;

  • Demonstrates ability to identify, escalate and communicate potential issues and conflicts; and,

  • Utilizes flexibility in handling multiple tasks by prioritizing and focusing on successful execution.

Learn more about how we work: https://pwc.to/how-we-work
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.
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.
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.
The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Top Skills

Ai/Ml
AWS
Azure
Data Bricks
Excel/Vba
Python
R
SAS
Snowflake
SQL

PwC Charlotte, North Carolina, USA Office

214 North Tryon Street Suite 4200, Charlotte, NC, United States, 28202

Similar Jobs at PwC

21 Hours Ago
Remote or Hybrid
8 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Manager in Data Risk Management, you will lead data-driven strategies, mentor teams, and ensure project success while aligning initiatives with business goals.
Top Skills: PythonSQL
21 Hours Ago
Remote or Hybrid
69 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead the design and implementation of innovative data models for finance and actuarial use cases while mentoring team members and maintaining professional standards.
Top Skills: SQL
23 Hours Ago
Remote or Hybrid
58 Locations
77K-202K Annually
Mid level
77K-202K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves developing data and analytics strategies for clients, migrating data to cloud environments, and aligning data strategies with business goals.
Top Skills: Amazon Web ServicesAzureDatabricksGoogle Cloud PlatformHadoopKafkaPower BIPythonScalaSnowflakeSparkSQLTableauTerraform

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account