About Job

CTC Undisclosed Job Location Canada Experience 2 - 5 yrs

Description

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

Bachelors degree in Statistics or other related field such as mathematics, business, finance, economics, or equivalent, Masters Degree a plus

Impact You'll Make:

The individual in this position will proactively work in designing fraud solutions with a focus on building and supporting state of the art models, their implementation, ongoing validations and client support. In this role, the person will work directly with Fraud Analytics SME 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.