Risk (Data) Analyst

Tabby is hiring a Risk (Data) Analyst for a remote role open to applicants in Serbia. Level rates it ; you can apply on Tabby.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
This is listed as a remote role.
The posting mentions SQL, Python and risk analysis among its tools and skills.
Tabby has 62 other open roles on Level.
Posted within the past week.

AI in this role

Analyze credit and fraud risk performance, develop risk strategies, and optimize BNPL portfolios using data tools like SQL and Python.

SQLPython

risk-analysisfraud-analyticscredit-riskdata-analysis

About us:

Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.

We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.

What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.

About the role:

As a Risk Analyst at Tabby, you’ll play a key role in shaping and executing credit and fraud risk strategies across our BNPL products. You’ll work with large datasets to identify trends, monitor portfolio performance, and support decision-making that balances growth and risk. This is a hands-on, cross-functional role where you’ll collaborate with data, product, finance, and commercial teams to ensure healthy portfolio metrics across multiple markets.

Key Responsibilities

Analyze credit and fraud risk performance across customer segments and products
Develop and optimize risk strategies to improve approval rates and reduce losses
Monitor key risk indicators and portfolio trends; present insights to leadership
Contribute to the design and rollout of new risk models and policies
Collaborate with cross-functional teams to support launches in new markets and verticals
Drive automation and efficiency in risk operations and reporting

Skills, Knowledge & Expertise

2–4 years of experience in credit risk, risk analytics, fraud analytics, or a related data-driven role
Strong analytical skills and experience with SQL, Python or similar tools
Understanding of consumer lending, BNPL, or fintech risk models
Ability to work independently and in a fast-paced, high-growth environment
Clear communication and a business-oriented mindset

How we rate this

Risk (Data) Analyst at Tabby rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Risk (Data) Analyst is an open job at Tabby.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Belgrade, / and is marked remote.
The job was posted on November 3, 2026.
Seniority: mid.
Applications are handled by Tabby. Apply on Tabby

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Risk AnalysisFraud AnalyticsCredit RiskData AnalysisSQLPython

Questions you could be asked

Tell me about a project where risk analysis was part of your work. What did you do?
Tell me about a project where fraud analytics was part of your work. What did you do?
Tell me about a project where credit risk was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Risk Analysis, Fraud Analytics, Credit Risk, Data Analysis, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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