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Western Union
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Scientist, Decision Sciences

Scientist, Decision Sciences

Western Union

3 - 8 years

5 - 10 Lacs

pune

Posted:2 weeks ago| Platform:

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Skills Required

analytical skills health insurance logistic regression operations research excel machine learning financial services travel insurance sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Scientist, Decision Sciences- Pune India

Are you ready to join a growing Decision Sciences team in a global company that customers depend on to prevent fraudulent transactionsDo you want to work in a role that has a direct impact on our customer experienceJoin Western Union as Scientist, Decision Sciences.

Western Union powers your pursuit.

The Decision Scientist will be part of the Decision Sciences team responsible for managing fraud losses while optimizing revenue opportunities on online Western Union transactions. In this role you will use your analytical skills to develop and maintain a suite of risk models and rules to ensure our customers, as well as Western Union, are protected against fraud.

Role Responsibilities

Develop real time and batch risk models to screen online transactions and stop fraudulent ones
Document and communicate model results and insights internally
Support Senior/Staff Risk Scientists with ad-hoc analysis in response to internal and external requests
Continuously track and evaluate the effectiveness of risk models and rules
Analyze online transaction activity to identify loss reduction opportunities and devise actionable plans to exploit such opportunities
Profile customer behavior to identify opportunities to enhance model/rule performance

Role Requirements

Preferably Masters degree or Graduate degree in quantitative related field (Statistics, Math, Operations Research, MS, M-tech, B-tech etc) required with proven track record in using advanced quantitative and statistical technique. Minimum bachelor s degree in quantitative field required.
3+ years of relevant experience. Data analytics related Master thesis or certified coursework projects will add additional value.
Strong problem solving and analytical skills
Strong communication skills to convey fraud insight
Ability to analyze problems and produce justification to enhance fraud decisions.
SQL and at-least one of the Python/R programming experience and aptitude to learn on the job.
Working knowledge of developing predictive models like logistic regression, decision tree etc and machine learning techniques
Intermediate knowledge of Microsoft Excel/Power BI/PPT
Exposure to cloud systems like AWS Sagemaker/ Dataiku is preferred

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Scientist, Decision Sciences