Risk Data Scientist

20 set - Milano
Scalapay

ppAt Scalapay, we're shaping a bculture /b with high standards, independent and critical thought, binnovation, ownership, and continuous learning /b.
We operate in a bfast-moving, tech-driven environment /b, and we're looking for people who bthrive in change, think boldly, and take initiative /b.
/p pIf you're ready to bput your potential to the test /b in a hiring process designed to spotlight exceptional talent, this is your chance to stand out and grow bwith one of Europe's most ambitious fintech teams /b.
/p p#MakeItHappen #PlayAsATeam #StayCurious #FocusOnCustomer.
/p h3THE MISSION: /h3 pAs a bRisk Data Scientist /b, you will bown the /b bdesign, implementation, and oversight of credit fraud model and reporting /b.
This is a bhigh-impact role /b where you will collaborate with cross-functional teams to align on bproduct and risk strategy /b changes to understand impact on loss performance and approval rates.
/p pThis role will bensure /b baccurate projections of portfolio performance, early detection of risk trends, and actionable insights to drive business decisions /b.
/p h3WHAT YOU WILL DO: /h3 ul liDevelop, implement, and maintain Credit Risk Fraud models across the BNPL Lending portfolio.
/li liBuild analytical tools and produce analysis to find Risk Losses drivers.
/li liMonitor approval rates, fraud credit performance and recovery trends.
/li liBuild scalable BI dashboards /li /ul h3Business Intelligence Reporting /h3 ul liOwn the design, automation, and delivery of Risk models BI reporting for leadership and stakeholders.
/li liPartner with cross functional areas like Finance, payments, product risk to provide data-driven insights into credit losses, profitability, and risk-adjusted returns.
/li liEnsure regulatory and management reporting requirements are met with high accuracy.




/li /ul h3Cross-Functional Collaboration /h3 ul liWork closely with credit risk, data science, finance, and product teams to align loss assumptions with pricing, provisioning, and strategic planning.
/li liCommunicate findings and recommendations to senior leadership and external stakeholders (e.g., auditors, regulators, investors).
/li liContribute to credit policy development by identifying emerging risks and recommending mitigation strategies.
/li liSupport provisioning under IFRS9 or equivalent regulatory frameworks.
/li liEnsure data integrity, consistency, and strong governance across risk reporting processes.
/li liProvide scenario analyses and stress testing to anticipate potential risks under different macroeconomic environments.
/li /ul h3WHO WE ARE LOOKING FOR: /h3 ul liHolder of a bMaster's degree in Finance, Economics, Statistics, Data Science /b, or related field.
Advanced degree preferred.
/li lib4+ years in risk management, data science, or risk modelling /b, preferably in bfintech, BNPL, or consumer lending or advanced analytics consulting /b.
/li liProven track record in bdeveloping loss risk models /b and reporting processes.
/li liProficiency in bSQL, R, Python /b for data analysis and modeling.
/li liProficiency in bAI /b for analytical and modeling.
/li liStrong analytical and problem-solving mindset.




/li liExcellent communication skills with an ability to simplify complex data into actionable insights /li liHigh attention to detail and strong ownership of deliverables.
/li liExceptional communication skills in English, both written and verbal, to effectively convey complex ideas to diverse audiences.
/li /ul h3WHY YOU SHOULD JOIN SCALAPAY: /h3 ul liAttractive packages based on skills and experience - the salary band we have for this position is of 45'******'000 € (Gross Annual Salary) /li liInternational environment with significant challenges to be met every day /li liLots of opportunities to work with a team of industry tech leaders who are focused on delivering products that offer exceptional user experiences /li liPersonalised support to accelerate your professional growth and take ownership of the products you deliver: we want to help you grow!
/li liLatest technologies and being encouraged to bring your flair to the role.
/li /ul h3OUR HIRING PROCESS: /h3 ul liAn initial chat with our Talent team /li liThe first interview with the Hiring Manager to dive deep into your experiences and better understand your motivation /li /ul pbSuper Pro tip: /b we know that application processes can be scary and frustrating but... we look for talent, not people that tick all our boxes.
/p pPlease note that only candidates with a legal working status in Italy will be considered as we do not provide any sponsorship.
Are you currently legally able to work in Italy?
/p pWe're lucky to receive a lot of CVs so we pay a lot of attention to what you share here: this is your chance to stand out with evidence, proof points and numbers /p pAs we work in hybrid mode, we expect our employees to work from our Milan office a minimum of 3 days per week and 2 days in remote.
/p /p #J-*****-Ljbffr

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