TransUnion is seeking a highly skilled Senior Analyst for its Financial Services Analytics team to apply analytical skills to work on all aspects of the account lifecycle in the consumer credit domain on behalf of a diverse set of clients
Requirements
- Foundational programming skills; experience in leveraging statistical language such as R or Python; experience using other programming and data manipulation languages (SQL, Hive, C/C++, Java); basic knowledge in data visualization tools; proficiency with Microsoft Office tools
- Bachelor Degree in statistics, economics, data science, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field with a track record of academic excellence
- 2+ years of professional experience performing statistics and analytics work in Financial Services or related industries
- Preferably involved in client-facing activities over a period of at least two (2) years
- Basic understanding of the Financial Services industry and market trends
- Experience with data extraction, segmentation and statistical analysis on large population datasets
- Experience with data visualization tools
Responsibilities
- You will apply your analytical skills to work on all aspects of the account lifecycle in the consumer credit domain on behalf of a diverse set of clients, ranging from marketing and propensity models for customer acquisition and retention, fraud detection solutions, credit risk models for acquisition and account management, cross-sell applications, portfolio models for regulatory applications, event-based trigger solutions, and strategy analyses of various kinds
- You will develop complex analytic solutions directly with TransUnion customers, business partners and other departments
- You will work closely with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for customers in the US financial services segment at TransUnion
- You will support analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, including model validation, monitoring and review, and leveraging a variety of techniques (e.g., segmentation, logistic regression, gradient boosted trees, survival analysis, principal component analysis, scenario and sensitivity analysis) as role develops
- You will support the writing of programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and SQL
- You will support the creation of analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience
- You will provide technical and non-technical support to building sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion
Other
- Ability to travel 10-20%
- Strong analytical, critical thinking, and creative problem solving skills
- Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
- Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation
- Regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week
