Sr. Fraud Analytics Consultant

TransUnion•Burlington, PE

1d•$110,000 - $147,500•Hybrid

About The Position

The individual in this position will proactively work in designing fraud solutions with a focus on building innovative models, supporting their implementation, ongoing validation and client support. In this role, the person will work directly with Fraud Analytics Consultant and help drive Fraud analytics revenue and sales. In addition, this individual will be expected to work effectively across virtual teams, liaise with others in order to facilitate the development and execution of complex projects and initiatives. 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, which may include providing strategic consulting, 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. Manages Fraud and Analytics work stream along with Fraud analytics consultant, by providing value add through technical skills and consulting. Supports Fraud analytics consultant and sales colleagues in supporting validations and other analyses to drive client adoption of TU Fraud solutions and data Support Fraud analytics consultant and 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. Good with Model documentation and version control Performs other related duties as assigned.

Requirements

7+ years of strong, diverse experience in the data and Fraud analytics space
Deep understanding of Fraud analytics and its commercial application
Strong programming skills with the ability to work with and transform large datasets
Proficiency in R/Python, advanced SQL, and big data technologies (Hive, Scala, Spark, Hadoop)
Experience in developing statistical 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
Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving.
Excellent communication skills (oral & written) with ability to communicate complex concepts and solutions successfully to all levels of management and technical expertise.
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.
Ability 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
Bachelor’s degree in Statistics or other related field such as mathematics, business, finance, economics, or equivalent

Nice To Haves

Experience with cloud platforms (AWS/GCP) is a plus.
Master’s Degree preferred.
Project and/or process management experience highly desirable
Well-rounded experience consulting or supporting intangible solutions

Responsibilities

Designing fraud solutions with a focus on building innovative models, supporting their implementation, ongoing validation and client support.
Working directly with Fraud Analytics Consultant to help drive Fraud analytics revenue and sales.
Working effectively across virtual teams and liaising with others to facilitate the development and execution of complex projects and initiatives.
Providing technical support, including strategic consulting and essential services to internal and external customers.
Identifying value-add opportunities for clients to maintain and nurture strong revenue base and mutually satisfying business relationships.
Managing Fraud and Analytics work streams, providing value through technical skills and consulting.
Supporting Fraud analytics consultant and sales colleagues in validations and other analyses to drive client adoption of TU Fraud solutions and data.
Supporting Fraud analytics consultant and wider Solutions team as analytics SME in Fraud product development.
Engaging with other business units and functional areas (legal, compliance, finance, IT) to support new product initiatives and development efforts specific to Fraud.
Working with Fraud SMEs and IT to determine analytical requirements and support integrating Fraud solutions and processes into current/new IT systems from an Analytics perspective.
Creating and/or following detailed project plans to ensure projects are completed on time and within budget.
Collaborating with various teams to assist common customers.
Effectively presenting project results in client/user language.
Understanding industry trends and the business to proactively identify areas of business opportunities and analytical needs of customers.
Assuring compliance of regulatory and privacy issues during implementation of modeling and analysis projects.
Maintaining good model documentation and version control.
Performing other related duties as assigned.