Financial Crimes Technology - AML and Data Analytics Sr Associate_

New York

**Specialty/Competency:** Data, Analytics & AI

**Industry/Sector:** Banking and Capital Markets

**Time Type:** Full time

**Travel Requirements:** Up to 40%

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 Years of Experience** :

3 year(s)

**Preferred Qualifications** :

**Preferred Fields of Study** :

Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Mathematics, Mathematical Statistics, Mathematical Economics, Operations Management/Research, Statistics, Data Processing/Analytics/Science

**Preferred Knowledge/Skills** :

Demonstrates thorough abilities and/or a proven record of success in the application of statistical methods, data mining or data-driven problem solving, in a combination of some of the following areas:

+ Consulting in the financial crimes space and working in a regulatory environment;

+ Managing compliance-related consulting engagements, including AML/BSA and OFAC laws and regulations as well having a thorough understanding and experience of how to apply such requirements in a business;

+ Utilizing project knowledge of AML systems (including data mapping and profiling, and system tuning and optimization) and leading sanctions and RPA systems;

+ Providing end-to-end implementation of Anti-Money Laundering (AML) and sanctions systems and platforms;

+ Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS;

+ Applying techniques across one or more machine learning models including: multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge;

+ Utilizing intelligent robotic process automation tools (Automation Anywhere, Pega, UiPath, etc.), and AML systems technologies (Actimize, Mantas, FircoSoft, etc.);

+ Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in the financial crimes space; and,

+ Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, Power BI and QlikView.

Demonstrates thorough abilities and/or a proven record of success in a combination of some of the following areas:

+ Leading a key work stream in an engagement(s), and staying educated on current trends and assisting in the development of knowledge capital for team members;

+ Collaborating with business development teams responsible for writing and presenting proposals to prospective clients, leveraging PC applications including Microsoft Word, Excel, PowerPoint, and MS Project;

+ Supporting practice management for a specific operation or process in a consultative environment;

+ Identifying and addressing client needs by actively participating in client discussions and meetings, communicating a broad range of Firm services;

+ Managing engagements including preparing concise, accurate documents and balancing project economics management with the occurrence of unanticipated issues; and,

+ Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement work stream(s).

Learn more about how we work: o/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: o/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.

For positions in California, Colorado, District of Columbia, Hawaii, Maryland, Nevada, New York State, or Washington State, or for opportunities that will report to a supervisor, office or other work site in New York State, please visit the following link for pay range information: o/payrange-v1-advisoryseniorassociate