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

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor Degree
Minimum Year(s) of Experience:
3 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 thorough 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.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
The salary range for this position is: $84,000 - $202,000, 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 and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance