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Predictive Analytic Modeler
Dun & Bradstreet
Short Hills, NJ, United States
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Why We Work at Dun & Bradstreet
Life here at Dun & Bradstreet is changing – for the better. With almost two centuries of experience and a new modern vibe, work at D&B has never been more exhilarating. Our purpose is to grow the most valuable relationships in business by uncovering truth and meaning in data. We’re wildly passionate about our purpose, and it has us evolving everything we do – from how we engage with our customers to how we energize one another. So if you thrive in a fluid, agile culture but want the solidity of a storied and commanding brand, come join us!
As a Predictive Analytic Modeling Statistician in the Advanced Analytic Services team, you will be required to have the following background education and experience and the ability to fulfill the following essential responsibilities. We also list preferred qualifications that are not required, but would be beneficial.
Basic Requirements
• Master’s degree with concentration in a quantitative discipline such as (Math/Stat, Economics, Computer Science, Finance, Operations Research, etc.) with 2 to 3 plus years of applicable experience
• Strong programming skills with the ability conduct research utilizing Python and SAS to manipulate data and conduct statistical analysis
• Strong SQL skills and experience
• Strong client collaboration skills, including the ability to build and maintain relationships with clients
• Ability to effectively communicate complex ideas to both a technical and non-technical audience
• Strong knowledge of MS office tools
• Creative and inquisitive in nature, flexibility to learn and apply new methodologies
Essential Responsibilities
• Engage clients with the D&B colleagues to identify their business needs and develop, implement, and manage solutions
• Establish and maintain strong relationships with key business stakeholders
• Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting
• Research complex business issues and recommend solutions, including model inputs and end products
• Serve as a Subject Matter Expert on predictive models within the Advanced Analytic Services team and with business users; consult with the business, as appropriate, on predictive modeling solutions
• Validate the performance of existing quantitative risk models and recommend changes when necessary
• Develop a solid working knowledge of how current systems and data sources are used in existing predictive modeling projects; Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs
• Ability to manage multiple assignments, many of which with challenging timelines
• Ability to work independently, as well as collaborate effectively in a team environment
Preferred Qualifications
• Experience working with very large datasets
• Strong business acumen, especially in Financial Services Industry Experience in underwriting, risk, statistical modeling roles
• Experience working with outside clients on statistical engagements
• Ability to program in other statistical analysis languages
• Experience applying modern machine learning techniques
• Strong technical writing skills
Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.
We are committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to TalentAcquisitionTeam@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.
Please note that all Dun & Bradstreet job postings can be found at https://dnb.wd1.myworkdayjobs.com/Careers and all communication from Dun & Bradstreet will come from an email address ending in @dnb.com.