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

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.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold 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:
1 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 some 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: $75,000 - $118,000, 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