Senior Analytics Engineer

Unifund is one of the country's leading purchasers, sellers and managers of under-performing and distressed consumer receivables. The ideal candidate will help develop a comprehensive predictive analytics portfolio that includes advanced statistical analysis and predictive solutions, text and data mining, data collection capabilities for research. The purpose of the work outcomes is to enable the company to predict future events, and proactively act to drive better business outcomes.

Scope of Role

• Solve complex operational problems using quantitative analysis
• Work with IT and operations/sales teams to gather information necessary to analyze results
• Identify opportunities for improvement
• Conduct performance analysis of critical revenue drivers
• Generate ideas for new strategies to add value

• At least 5 years experience in advanced Excel based modeling including VBA programming.
• At least 5 years experience in a statistical software package such as R, SAS, SPSS, or equivalent
• At least 3 years experience in knowledge of database structure and writing queries. SQL Server preferred.
• At least 3 years experience in test design and analysis
• At least 2 years professional experience designing and developing statistical models, segmentation schemes and data-driven analyses
• Strong capability to build models and utilize statistical methods including data imputation, time series, logistic regression, Bayesian classification, survival analysis, neural networks and other modeling techniques
• Ability to perform exploratory data analysis and implement propensity models
• Experience working with large unstructured datasets from a variety of sources
• Experience with advanced analytical techniques such as machine learning, genetic algorithms, regression analysis, factor analysis, decision trees, and clustering
• Strong analytical skills, preferably in consumer financial services industry. Should have experience in developing and working with financial models such as cash flow and NPV models
• Experience with Data mining and Business Intelligence applications
• Strong written and oral communication skills to deliver a high quality set of analytic outcomes in a clear, easy to understand way
• Be creative, detail oriented and self-driven
• Team player but comfortable working independently
• Excellent problem-solving skills
• Strong time management skills
• Master's degree in applied statistics, mathematics, operations research, econometrics, or other quantitative discipline. PhD preferred.

• Demonstrated aptitude for visualizing and presenting data and a working knowledge of best practices in data visualization
• Financial services industry experience

Unifund is not accepting resumes or considering candidates from independent recruiters or persons other than the applicant for this position. Unifund therefore does not recognize any claim for recruiting, referral or any other fees arising out of applicants engaged or hired by Unifund for this position.