Scientist, Decision Sciences

**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 transactions? Do you want to work in a role that has a direct impact on our customer experience? Join 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 Master's 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

We make financial services accessible to humans everywhere. Join us for what’s next.

Western Union is positioned to become the world’s most accessible financial services company transforming lives and communities. We’re a diverse and passionate customer-centric team of over 8,000 employees serving 200 countries and territories, reaching customers and receivers around the globe. More than moving money, we design easy-to-use products and services for our digital and physical financial ecosystem that help our customers move forward.

**Benefits**

Your India specific benefits include:

- Employees Provident Fund [EPF]
- Gratuity Payment
- Public holidays
- Annual Leave, Sick leave, Compensatory leave, and Maternity / Paternity leave
- Annual Health Check up
- Hospitalization Insurance Coverage (Mediclaim)
- Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance
- Cab Facility
- Relocation Benefit

Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, problem-solve together, and innovate.

Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week.

LI-HR1 #LI-Hybrid

Estimated Job Posting End Date:
08-01-2025