Risk Data And Analytics - Model Risk And Validation - Senior Associate

Pwc Raleigh , NC 27611

Posted 1 week ago

A career in our Model Risk and Validation practice, within Risk Data and Analytics services, will provide you with the opportunity to help our clients develop a strategic and sustainable approach to harness the value of their data and drive business results. We work with organisations across industries to develop customised, cost effective technology solutions that focus on delivering the relevant, actionable intelligence that executives need to understand operations and manage critical risks.As part of the team, you'll help organisations manage the deployment and maintenance of complex models used for risk management and valuation.

Responsibilities

As a Senior Associate, you'll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:

  • Proactively assist in the management of several clients, while reporting to Managers and above

  • Train and lead staff

  • Establish effective working relationships directly with clients

  • Contribute to the development of your own and team's technical acumen

  • Keep up to date with local and national business and economic issues

  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients

  • Continue to develop internal relationships and your PwC brand

Preferred Qualifications:

Degree Preferred:

Doctor of Philosophy

Additional Educational Preferences:

A combination of an advanced Statistics degree with an undergraduate or graduate degree in Finance and/or Economics will be considered.

Preferred Knowledge/Skills:

Demonstrates extensive knowledge of, and a proven record of success managing and executing data analytics projects within the Financial Services sector, including banking industry, consulting, or government regulatory positions.

Knowledge areas include

  • Extensive financial/econometric modeling focus;

  • Knowledge of /Proficiency with credit risk models, mortgage prepayment models, and/or complex discounted cash flow models;

  • Techniques for analysis of complex financial services data, including programming and computational techniques for large data sets and quantitative analysis;

  • Statistical techniques for analyzing financial data, including: sampling, optimization, logistic regression, and cluster analysis; and Visualization techniques for summarizing complex financial data analysis.

Demonstrates extensive abilities and a proven record of success as a manager of engagements and project teams, which include the following:

  • Ability and experience managing teams using leading programming and analytical tools to analyze AML data, including SAS, R, C++, SPSS, Oracle, SQL;

  • Demonstrated proficiency with advanced statistical/econometric modeling techniques and complex Excel-based spreadsheet models;

  • Thorough SAS programming skills - additional experience with Visual Basic, SQL, or C++ is a plus;

  • Demonstrated and proven extensive verbal and written communication skills, and ability to interface effectively with modelers as well as all levels of client management;

  • Understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seeking guidance, clarification and feedback Identifying and addressing client needs, which includes the following: building solid relationships with clients; developing an awareness of Firm services; approaching client in an organized manner; delivering clear requests for information; demonstrating flexibility in prioritizing and completing tasks; communicating potential conflicts to a supervisor;

  • Prioritizing and handling multiple tasks; researching and analyzing pertinent client, industry, and technical matters; utilizing problem-solving skills; and, communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment.

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.


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Graduate Summer Internship Risk Management

Genworth Financial

Posted 7 days ago

VIEW JOBS 3/15/2019 12:00:00 AM 2019-06-13T00:00 POSITION TITLE Graduate Summer Internship, Risk Management LOCATION Raleigh, NC YOUR ROLE The role reporting to the Global Mortgage Insurance Advanced Analytics & Modeling Leader will primarily develop Machine Learning Models/Predictive Statistical Models for claim frequency, and severity among others. The Position is in the GMI Division, in the Risk Management Department. YOUR RESPONSIBILITIES 1) Contribute to modeling projects under the GMI Machine Learning Initiative 2) Develop Tools/Techniques/Code to Better Interpret Machine Learning Model Outputs 3) Provide Ad Hoc Modeling/Analytical Support for Model Development and Validation YOUR QUALIFICATIONS * Pursuing graduate degree in a quantitative discipline such as Statistics, Actuarial Sciences, Mathematics, Physics, Finance, or Economics with proven modeling & analytical skills and detail orientation * Thorough understanding of and demonstrated experience with statistical models * Understanding or experience with Financial Time Series data is helpful * Advanced proficiency in programming languages and Excel (esp. macros) * Able to work independently with minimal supervision on technical aspects requiring statistical & programming skills * Results oriented, accountable for performance, and takes complete ownership of projects ADDITIONAL QUALIFICATIONS * Pursuing MS/Ph.D. (ABD or Substantial Coursework in regression models) with emphasis in Econometrics/Finance/Statistics/Mathematics/Physics or a related quantitative field * Experience with Programming languages * International experience working across multiple time zones and cultures is a plus COMPANY Genworth Financial, Inc. is a leading insurance holding company committed to helping families achieve the dream of home ownership and address the financial challenges of aging through its leadership positions in mortgage insurance and long term care insurance. Headquartered in Richmond, Virginia, Genworth traces its roots back to 1871. Genworth Mortgage Insurance, headquartered in Raleigh, North Carolina, is a global mortgage insurer with a major presence in the United States, Canada, and Australia. With origins dating back to 1980, Genworth Mortgage Insurance provides primary mortgage guaranty insurance coverage on residential mortgage loans, as well as mortgage pool insurance policies that enhance insurance coverage for various types of mortgage-related securities. Our mortgage insurance can help individuals secure low down payment loans and realize the dream of home ownership faster – even for the first time. We know we can't deliver on our mission unless we deliver for our employees. That's why we're committed to creating a work environment that fosters inclusion, excellence, improvement and connection. We know each employee contributes in their own unique way and we're dedicated to supporting every one of them to help them reach their full potential. Genworth Financial Raleigh NC

Risk Data And Analytics - Model Risk And Validation - Senior Associate

Pwc