Thanks to our innovative BuyNow PayLater payment solution, Scalapay is transforming the way more than 5 million customers buy online and in-store, empowering 8,000+ merchants (online and in-store) to give their customers magical shopping experiences.
Being only 3 years old didn't stop us from becoming a unicorn. We have raised over $700mln and we did this thanks to a team built around our 4 core values: #MakeItHappen #PlayAsATeam #StayCurious #FocusOnCustomer.
This is where your magic happens. If you love it, Scalapay it.
At Scalapay, the Fraud risk team is mainly managing Stolen Financial risk and Account Takeover.
As a Fraud Strategy Manager, you'll be responsible for key KPIs for the company's loss metrics with a good balance of customer experience. You will be tasked to set goals, create strategy, and closely collaborate with product managers, engineers, and business stakeholders. You'll be responsible for detecting changed fraud trends, writing rules for different patterns, and closely monitoring the solution performance.
You will be responsible for:
Overseeing the development and enhancement of fraud risk management strategy for Scalapay.
Maintaining and refining the fraud strategy framework, including fraud model strategies and flash fraud surgical rules.
Monitoring performance, detecting early warning signals, and implementing proactive measures to mitigate losses.
Working closely with our Data Science team to optimise our fraud risk models to keep the model strategy up-to-date with high performance.
Identifying trends and developing features by reviewing cases daily to timely capture flash fraud trends with quick response to stop loss leakage.
Partnering with the product and engineering team in implementing fraud features and models, and enhancing solutions.
Swiftly responding to system issues and deep diving into root cause analysis.
Mastering large volumes of data; extracting and manipulating large datasets using standard tools such as SQL and Python.
You'll be great for this role if:
A minimum of 5 years experience in quantitative statistics, maths, business, or related disciplines.
Experience in fraud risk solutions is highly desirable.
Experience in data mining and analysis tools such as Python/SQL.
A strong understanding of fraud patterns, including ATO or stolen CC.
Excellent analytical skills, with the ability to interpret complex data and trends to make informed risk decisions.
Self-starter, motivated by a passion for developing the best possible solutions to problems.
Intellectually curious and comfortable operating in a fast-paced, ever-changing environment.
Why you should join Scalapay:
Attractive packages based on skills and experience - the salary band we have for this position is of 60'000-70'000 € (Gross Annual Salary).
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.
Recruitment Process:
A quick chat with one of our Talent Acquisition team members.
The first interview with the Hiring Manager to dive deep into your experiences and better understand your motivation.
Super Pro tip: We know that application processes can be scary and frustrating but… we look for talent, not people that tick all our boxes.
We believe in the power of diversity: Scalapay is an Equal Opportunity Employer for any minority, disability, gender identity, or sexual orientation.
#J-18808-Ljbffr
