Fraud Risk Analyst Lead

hace 1 día


Barcelona, Barcelona, España Scalapay A tiempo completo

About Scalapay

At Scalapay, we're revolutionizing the way people shop online and in-store with our innovative BuyNow PayLater payment solution. Our platform empowers over 6.5 million customers to make seamless purchases, while enabling 8,000+ merchants to deliver exceptional shopping experiences.

We've achieved remarkable growth in just three years, becoming a unicorn and raising over $700 million through a team built around our core values: #MakeItHappen, #PlayAsATeam, #StayCurious, and #FocusOnCustomer. This is where your skills will truly shine

The Role:

You'll join our team as a Sr Fraud Risk Analyst, responsible for driving key KPIs that balance loss metrics with customer experience. Your tasks will include creating and implementing strategies, collaborating closely with product managers, engineers, and business stakeholders. You'll detect changed fraud trends, write rules for different patterns, and monitor solution performance.

Your Key Responsibilities:

* Maintain and refine the fraud strategy framework, including fraud model strategies and flash fraud surgical rules.

* Monitor performance, detect early warning signals, and implement proactive measures to mitigate losses.

* Work closely with our Data Science team and third-party providers to optimise our fraud risk models.

* Identify trends and develop features by reviewing cases daily to timely capture flash fraud trends with quick response to stop loss leakage.

* Partner with product and engineering teams in implementing fraud features and models, and enhancing solutions.

* Master large volumes of data; extract and manipulate large datasets using standard tools such as SQL and Python.

Your Qualifications:

  • 5+ years of relevant experience in the payment industry, financial services, or ecommerce.
  • Bachelor's degree or equivalent in a relevant field, such as Math, Physics, Engineering, Finance, Business Administration, or Economics.
  • SQL and Python proficiency is a must.
  • Fundamental understanding of ML and base statistics.
  • Strong organisational and time management skills, with the ability to work effectively in a fast-paced environment.
  • Proven track record of successfully working within a cross-functional team and across multiple stakeholders and geographies to deliver project outcomes.

About the Benefits:

Attractive packages based on skills and experience. International environment with significant challenges to be met every day. Lots of opportunities to work with a team of industry tech leaders who are focused on delivering products that offer exceptional user experiences. Personalised support to accelerate your professional growth and take ownership of the products you deliver. We want to help you grow Latest technologies and being encouraged to bring your flair to the role.


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