White Plains, NY
Leading financial services consulting firm seeks a fraud analytics specialist to manage a small team of analysts, who will turn unstructured business questions into highly structured analytical solutions. You will provide “thought leadership” to internal clients, derive meaningful data relationships through mining and visualization and incorporate findings into statistical modeling frameworks to support decision making across a wide range of problems.
You will:
- Assist in construction of short term and long-term plans with associated benefits of strategies that are to be developed to reduce fraud across all portfolios (e.g. Credit Card, Debit Card, Advances, and Transactions)
- Evaluate, analyze and leverage a range of statistical methods and analytical information in order to recommend, review and implement decisions that will have a positive impact on the P&L of each retail banking portfolio
- Supervise regular evaluation of fraud authorization strategies that are implemented from both an operational and financial benefit perspective. Suggest changes and improvements as necessary
- Provide necessary support and guidance to new products and services from a fraud perspective
- Accountable for providing expert consultancy to stakeholders in order to support strategic agenda
- Accountable for communicating proposed strategies and for delivering appropriate reporting
- Assist staff in developing technical skill, business acumen, project management, statistical analysis and stakeholder management.
· Scheduling, building, managing and promoting statistical models using SAS, Xeno and adhoc databases. As chief modeler, ensure models are built on schedule and error-free.
· Apply model development methodologies and develop predictive models, design and execute ad hoc statistical research, and executing model validation and scoring
· Assist in developing and executing strategy to research and implement predictive modeling techniques and technologies
- Apply optimization techniques to maximize guest profitability
· Contributing to the development of a cutting-edge data mining and modeling environment, utilizing the latest software tools and technologies.
- Partner with key organizational members to best utilize predictive modeling solutions
- Direct the team in the completion of critical assignments when required
You have:
· Quant BS degree with 4+ years of experience developing, implementing and managing custom-score based solutions, or Quant MS degree preferred with at least two years of experience;
· Ph.D. degree in statistics preferred
- Ability to lead complex analytic projects
- Ability to work and contribute in a team environment
· Experience solving analytical problems in a business environment desirable.
· Ability to work independently or as part of a team.
· Excellent oral and written communication skills, essential.
· Proficient with SAS programming (SAS BASE and SAS macro language) and/or other similar statistical software (Xeno, S-Plus).
· Experience utilizing large-scale databases, SQL, UNIX, and relational database applications.
· Experience with response modeling in FRAUD, preferably in credit cards, from a bureau, consulting company or issuer.
· Areas of statistical knowledge should at minimum include a few of the following: Statistical Experimental Design, Generalized Linear Models, Time Series Modeling and Forecasting, Multinomial Response Models, Bayesian Analysis and Modeling, Markov Chain Monte Carlo, Simulated Annealing, Constraint Optimization, Data Mining and Visualization, Modern Exploratory Data Analysis and Modeling.
