Financial Risk & Markets- Data & Technology - Experienced Associate

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity

As a Financial Risk & Markets- Data & Technology - Experienced Associate, you will leverage advanced analytical techniques to extract insights from large datasets, driving data-driven decision-making for our clients. Within our Technology Consulting practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems and optimizing their operations to achieve strategic goals.

As an Associate, you will be driven by curiosity and contribute reliably to client engagements and projects. You will adapt to working with diverse clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. In this role at PwC, you will build a brand for yourself, opening doors to more opportunities as you navigate through the firm. You will apply a learning mindset, appreciate diverse perspectives, and develop your potential while actively listening and expressing ideas clearly. This position offers a dynamic environment where you can grow your skills and deepen your understanding of the business context.

Responsibilities

• Conducting complex data analysis to extract insights and support data-driven decision-making
• Utilizing advanced analytical techniques to optimize client operations and achieve strategic goals
• Leveraging skills in data manipulation, visualization, and statistical modeling to solve business problems
• Developing and maintaining data pipelines and integration processes to validate data quality and integrity
• Creating dashboards and reports using tools like Power BI and Tableau to visualize data trends and performance metrics
• Applying machine learning algorithms and predictive modeling to enhance data analysis capabilities
• Collaborating with team members and clients to gather information and analyze facts for informed insights
• Implementing data security measures and validation processes to protect sensitive information
• Engaging in research and algorithm development to improve data analysis methodologies
• Supporting client engagements by adapting to varying challenges and scopes within a fast-paced environment

What You Must Have

• At least a Bachelor''s degree
• At least 1 years of experience

What Sets You Apart

• Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
• At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
• Demonstrating proficiency in data analysis and visualization tools
• Utilizing machine learning techniques for financial risk analysis
• Engaging in complex data modeling and statistical analysis
• Applying algorithm development skills in data-driven projects
• Excelling in dashboard creation and data integration tasks

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. 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.