Credit Modeling Manager_

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 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

**Minimum Years of Experience** :

5 year(s)

**Preferred Qualifications** :

**Degree Preferred** :

Master's Degree, or Doctor of Philosophy

**Preferred Fields of Study** :

Economics, Mathematical Economics, Mathematical Statistics, Statistics

**Preferred Knowledge/Skills** :

Demonstrates extensive knowledge and/or a proven record of success developing and/or validating testing of models within the Financial Services sector, including the banking industry, consulting, or government regulatory positions, including the following areas:

+ Econometric/statistical, machine learning, and other analytical modeling;

+ Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access;

+ Retail and/or wholesale credit risk models, including underwriting scorecards, loss forecasting models, prepayment models, and/or complex discounted cash flow models;

+ Statistical and machine learning techniques for analyzing financial data, including survival analysis, time series analysis, GLM, logistic regression, XGboost, LightGBM, Random Forest, Neural Networks, decision tree analysis, and cluster analyses;

+ Statistical techniques for analyzing financial data, including sampling, optimization, logistic regression, linear regression, decision tree analysis, and cluster analyses;

+ Model documentation and/or model validation report writing; and Visualization techniques for summarizing complex financial data analyses;

+ Proven ability to lead teams and complex engagements; and,

+ Established business development experience in the consulting industry.

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

+ Modeling experience in the financial industry covering retail (e.g., mortgages, credit cards, auto loans) and wholesale (e.g., Commercial and Industrial, Commercial Real Estate) credit underwriting and loss forecasting models including CECL, IFRS 9 and CCAR as well as other business areas such as marketing and collections, fraud detection/scoring models;

+ Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.;

+ Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access;

+ Using proven verbal and written communication skills to interface with modelers/validators and all levels of client management;

+ Managing technical and logistical aspects of projects with teams of various sizes, including fully geographically dispersed virtual teams;

+ Mentoring teams, which includes creating a positive environment by providing constructive feedback, monitoring workload of the team, respecting the work-life quality of team members, providing feedback in a timely manner, performing a critical review of other’s work, informally coaching staff, and keeping leadership informed of progress and issues;

+ Assisting with business development activities, including building networks of contacts, identifying and developing opportunities, writing proposals, writing contracts, etc.; and,

+ Identifying and addressing client needs, including building solid client relationships, developing an awareness of Firm services, and technological advances in the industry.

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