Blackhawk Network

Risk Analytics Manager

ID
2025-24518
Category
Risk Management
Position Type
Full Time
Location : Location
IE-Dublin-Swords

About Blackhawk Network:

Today, through BHN’s single global platform, businesses of all kinds can tap into the world’s largest network of branded payment solutions. BHN helps businesses grow revenue, increase loyalty, motivate and reward their teams, disburse funds and engage consumers. Branded payment solutions include the issuance and distribution of gift cards, egifts, corporate payouts and rewards, along with the technology to deliver these products in seamless, integrated ways. BHN’s network spans the globe with more than 400,000 consumer touchpoints. Learn more at BHN.com.

Overview:

The online gift card space is a high-risk segment. It attracts malicious actors, looking to make a quick dollar. Gift Cards are also a highly convenient option for consumers to buy gifts for friends and family or to capitalize on great promotional offers. BHN Risk Services provides best-in-class fraud prevention. We are committed to approving every good order. We are team driven and driven to succeed in this essential responsibility.

 

The Risk Analytics Manager, EMEA is on the front line of identifying and targeting fraud to keep our millions of users secure and engaged. The Risk Analytics Manager applies her/his analytical and technical skills on researching data, monitoring, and creating logics that stop fraudulent activity across all Blackhawk Network platforms. She/he analyze existing loss trends and define logics, solutions, and operational processes that prevent them - while delivering best-in-class customer experience for Blackhawk Network users. Ability to effectively organize workload to move multiple projects forward at the same time while keeping communication open cross functionally will be critical for success.

 

Location: Hybrid role - 2 days per week based in Swords, Co Dublin, Ireland.

Responsibilities:

  • Leverage data science tactics to identify and delineate behaviors into good user stories and bad user stories
  • Design and monitor the performance of macro and transactional fraud rules, eg: the creation of end-to end reporting, alerts and monitoring processes for activation account and redemption level activity using multiple data sources.
  • Build advanced reports and dashboards with Power BI to visualize trends, highlight anomalies and drive near real time business decisions.
  • Leverage data science tactics to identify and delineate behaviors into good user stories and bad user stories
  • Develop and maintain a continuous monitoring system to assess the operational effectiveness of critical risk functions.
  • Investigate, analyze and author rules to detect and prevent fraudsters from accessing EMEA Direct to Consumer (DTC) and Business to Business (B2B) sites to exchange compromised gift card codes
  • Coordinate EMEA spoof site detection & shutdown efforts with external vendors and internal risk teams.
  • Coordinate and project manage EMEA fraud investigations in respect of DTC and B2B sites.
  • As EMEA B2B/B2C sites incorporate the new BHN payment architecture, manage performance to minimize manual risk reviews while keeping approval rates near 100%.

Qualifications:

  • 5+ years of data analysis and modeling experience
  • Big data environment with hands-on coding experience within various traditional data and open-source tools (SQL, SAS, Python, etc.)
  • Advanced data visualization experience
  • Excellent quantitative and analytic skills, including the ability to identify patterns, trends, insights, and perform risk/reward trade-off analytics
  • Ability to build effective presentations to communicate analytical findings
  • Experience in volume driven and time sensitive work environments.
  • Extensive experience/knowledge with MS Office applications & My SQL
  • Strong organizational skills and excellent follow-through
  • Outstanding communication and interpersonal skills; can communicate effectively in writing or verbally with technical and non-technical team members
  • High emotional intelligence, a can-do mentality, and a creative approach to problem-solving
  • Patient, diplomatic, and collaborative

 

Education

  • BA/BS (prefer) or equivalent work experience.

Benefits:

We offer a competitive range of Employee Benefits that are designed to give all our employees a better quality of work-life, decrease stress and foster a great culture.

 

Benefits include: 23 days annual leave with additional appreciation days, additional leave for your wedding and volunteering, time off for your birthday, life assurance, health insurance, cyclescheme, employee assistance programme and flyers, our leading recognition programme with financial rewards.  We also offer a wide variety of other benefits to support your physical and mental health.

 

Additionally, we also offer hybrid working, a variety of ways for you to save money including a 10% discount when purchasing one4all cards, social and sport events and gym discounts.

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