Sr. Data Scientist, Fraud Analytics

at  TransUnion

The duties and responsibilities described above are the essential functions of the job. The qualifications below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 2+ years’ experience working with R/Python or similar analytical tools
• Familiar with various statistical, econometric, and quantitative analysis techniques and their applicability to business problems
• Advanced knowledge of SQL, Hive, Scala, Spark etc.
• Experience in developing statistical Fraud models - Research, develop, test, and document methodologies/models, procedures and related processes.
• Model implementation and ongoing validation - Liaise with other stakeholders to facilitate model approval and implementation; participate in formulating implementation requirements, and conducting pre-implementation testing and continuing support
• Quick thinker, unconventional problem-solving capabilities
• Excellent communication skills (oral & written) with ability to communicate complex concepts and solutions successfully to all levels of management and technical expertise.
• Must have proven ability to interact and mediate with all levels of organization, from most junior to most senior, from all aspects of business including technical and operational.
• Proven ability to mediate through complex business issues from multiple points of view and levels of organization – while achieving desired outcome
• Track record of independent self-motivated results. Must also be able to work effectively under minimum supervision.
• Willingness and ability consistently assert point of view in a non-confrontational manner.
• Capable of translating market/economics trends into tangible product concepts/ideas or solutions
• In-depth understanding of Fraud industry and relevant experience is a must
• Well-rounded experience consulting or supporting intangible solutions
• Bachelor’s degree in Statistics or other related field such as mathematics, business, finance, economics, or equivalent, Master’s Degree a plu

The right candidate will have the ability to work independently with minimal supervision, along with ability to work and deliver quality output within tight timelines. Responsible for providing technical support, in addition to essential services to internal and external customers. Finds value-add opportunities for clients to help maintain and nurture strong revenue base, mutually satisfying business relationships. Some of the key duties in this role are :

• Manages Fraud and Analytics work stream along with Fraud analytics SME, by providing value add through technical skills and consulting.
• Supports Fraud analytics and sales colleagues in supporting validations and other analyses to drive client adoption of TU Fraud solutions and data
• Support wider Solutions team as analytics SME in Fraud product development
• When necessary, will engage with other business units and functional areas to support new product initiatives and development efforts specific to Fraud – some of the functional areas may include legal, compliance, finance and IT.
• Work with Fraud SMEs and IT to determine analytical requirements; and support integrating Fraud solution and processes into current/new IT systems from Analytics perspective
• Creates and/or follows detailed project plans to ensure projects are completed on time and within budget.
• Collaborates with various teams to assist common customers. Effectively presents project results in client/user language.
• Understands industry trends and the business at the level needed to proactively identify areas of business opportunities and analytical needs of customers.
• Assures compliance of regulatory and privacy issues during implementation of modeling and analysis projects.
• Makes formal presentations at meetings, conventions, and other speaking engagements in a particular area of business or statistical expertise.
• Good with Model documentation and version control
• Performs other related duties as assigned