Financial Crimes Technology - AML and Data Analytics Sr 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.

The Opportunity
As part of the Data and Analytics team you are expected to apply analytical methods to large and complex datasets leveraging languages such as Python, Java, C++, R, and SQL. As a Senior Associate you are expected to analyze complex problems, mentor others, and maintain standards. You are expected to focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations to grow your personal brand and technical knowledge.
Responsibilities
- Apply analytical methods to large datasets using Python, Java, C++, R, and SQL
- Solve complex problems with innovative solutions
- Mentor and guide junior team members
- Maintain exceptional standards in deliverables
- Build and maintain client relationships
- Develop a thorough understanding of business contexts
- Navigate complex situations to enhance personal and technical growth
- Utilize critical thinking to break down intricate concepts
What You Must Have
- Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Data Processing/Analytics/Science, Mathematics
- 3 years of experience
What Sets You Apart
- Performing in development language environments like Python, Java, C++, R, SQL
- Applying statistical modeling, algorithms, data mining, machine learning
- Manipulating and analyzing complex, large-scale data
- Familiarity with machine learning architectures for text analysis
- Building modularized, configurable, and reusable statistical models
- Applying techniques such as multivariate regressions, Bayesian probabilities
- Visualizing and communicating analytical results using Tableau, Spotfire
- Assisting with the delivery and tracking of large-scale projects
- Supporting engagement leads in interpreting and presenting model results
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