Financial Crimes Technology - Data and Analytics - Analytics - Manager_

New York

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

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

**Time Type:** Full time

**Travel Requirements:** Up to 60%

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 Manager, 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:

+ Develop new skills outside of comfort zone.

+ Act to resolve issues which prevent the team working effectively.

+ Coach others, recognise their strengths, and encourage them to take ownership of their personal development.

+ Analyse complex ideas or proposals and build a range of meaningful recommendations.

+ Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.

+ Address sub-standard work or work that does not meet firm's/client's expectations.

+ Use data and insights to inform conclusions and support decision-making.

+ Develop a point of view on key global trends, and how they impact clients.

+ Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.

+ Simplify complex messages, highlighting and summarising key points.

+ Uphold the firm's code of ethics and business conduct.

**Job Requirements and Preferences** :

**Basic Qualifications** :

**Minimum Degree Required** :

Bachelor Degree

**Preferred Fields of Study** :

Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics

**Minimum Years of Experience** :

5 year(s)

**Preferred Qualifications** :

**Degree Preferred** :

Master of Science

**Preferred Knowledge/Skills** :

Demonstrates extensive abilities and/or a proven record of success in the following areas:

+ Leading key workstreams in engagements, staying updated on current trends, and contributing to team knowledge capital;

+ Demonstrating expertise in designing, building, and deploying production-quality models using statistical and machine learning techniques;

+ Creating, monitoring, and enhancing custom ML scorecards;

+ Leading initiatives involving AI technologies such as neural networks, natural language processing (NLP), predictive analytics, and deep learning algorithms;

+ Possessing proficiency in SQL, Python, programming, database management, and implementing ML Operations;

+ Utilizing machine learning models, including decision trees, SVMs (Support Vector Machines), and reinforcement learning to analyze and interpret complex data sets;

+ Possessing experience in Neural Networks and Pattern Recognition;

+ Consulting experience in the financial crimes space and regulatory environments is a plus;

+ Utilizing AML systems including data mapping, profiling, system tuning, and optimization;

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

+ Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement workstreams.

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-advisorymanager