Senior Risk Analyst at Tabby

Belgrade, Central Serbia, Serbia -

Full Time

Start Date

Immediate

Expiry Date

25 Jul, 26

Salary

0.0

Posted On

26 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Risk analytics, Data analytics, Statistical analysis, Risk modeling, Machine learning, Tableau, Fraud prevention, LLM models, Predictive models, Reporting, Monitoring, Mentoring, Problem-solving

Industry

Financial Services

Description

Senior Risk Analyst Department: Risk B2B Employment Type: Full Time Location: Remote Reporting To: Igor Sapelkin Description Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 20 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $14 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and now has an implied valuation of $4.5 billion. Key Responsibilities Preparation of datasets to support advanced risk analysis Own and continuously enhance risk assessment frameworks, algorithms, and decisioning strategies Drive the end-to-end lifecycle of LLM models Develop and refine fraud prevention strategies, including rule-based systems and predictive models Define, track, and analyze key risk and business KPIs; translate insights into actionable recommendations for senior stakeholders Build and maintain automated reporting and monitoring solutions to ensure proactive risk management Partner closely with product, engineering, and business teams to embed risk controls into processes and customer journeys Mentor junior analysts and contribute to best practices in risk analytics and modeling Skills, Knowledge & Expertise Bachelor’s degree in Mathematics, Computer Science, Statistics, or a related quantitative field (Master’s degree is a plus) 4+ years of experience in risk analytics, data analytics, or a similar role within banking or fintech Advanced proficiency in SQL and strong hands-on experience with Python Experience with data visualization tools such as Tableau or similar platforms Deep understanding of statistical analysis, risk modeling, and machine learning techniques Strong problem-solving skills with the ability to operate effectively in ambiguous, fast-paced environments Demonstrated ability to identify root causes, assess risk implications, and propose scalable solutions Fluent English A real excitement for what we’re doing here at tabby Job Benefits Relocation and Employment We offer remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy to work out an individual relocation plan for you. Our employees have the opportunity to choose a country for registration: at the moment those are Armenia, Georgia, Serbia, Portugal, Spain. What you can expect We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow, and meet their goals (whatever they may be). If this sounds exciting to you, we’d love to hear from you!

Responsibilities

The Senior Risk Analyst will own and enhance risk assessment frameworks, algorithms, and fraud prevention strategies while driving the lifecycle of LLM models. They will also build automated reporting solutions and partner with cross-functional teams to embed risk controls into business processes.