Finance Data Scientist at Euromonitor leveraging data analytics for financial decision - making. Collaborating across teams to build insights and improve operational performance using advanced analytics.
About the role
- Data Scientist developing data-driven solutions for IT infrastructure and consumer credit models at TransUnion. Collaborating with teams for innovative strategies and insights.
Responsibilities
- developing data-driven solutions to challenging and complex problems related to IT infrastructure/ operations, data ingestion and quality control, and enhancing customer experience
- responsible for consumer credit models, strategies, and business intelligence solutions through consulting engagements and research serving TransUnion and its clients
- partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for B2B customers in TransUnion's US financial services segment
- lead analytic client engagements involving descriptive, predictive, and prescriptive leveraging various techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis)
- design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on Linux, PC, and other big data computing platforms
- deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience
- develop project proposals, sales presentations, and promotional collateral to enable adoption of integrated customer solutions supported by TransUnion
- provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision
Requirements
- Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
- at least five (5) years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry
- strong analytical, critical thinking, and creative problem-solving skills
- proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java)
- high level of familiarity with Microsoft Office tools
- 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
- strong project management skills with the ability to manage multiple assignments effectively
- ability to travel 10-20%
Benefits
- flexible time off
- workplace flexibility
- support of tuition reimbursement
- conferences and seminars
- a modern computing environment based on best-in-class "big data" and cloud computing technologies
Job title
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Experience level
Salary
Not specified
Degree requirement
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