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 data analyst role Little AI ●○○○: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include SQL, Python and risk management.
- Level lists 62 other open roles at Tabby.
- The role was posted within the past two weeks.
AI in this role
Risk Data Analyst responsible for analyzing portfolio performance and risk strategies at Tabby.
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 will play a key role in analysing risk performance and contributing to the risk strategy across our products. You will work with large datasets to identify trends, monitor portfolio performance, and support data-driven decisions that balance growth with risk discipline. This role is highly cross-functional, requiring close collaboration with data, product and engineering teams to ensure healthy portfolio performance.
What You’ll Do
- Analyse portfolio performance, customer behavior, and key risk indicators across products and segments.
- Utilize big data analytics to identify risk patterns and insights. Develop reports and dashboards to monitor risk metrics and performance and present insights to leadership
- Optimize risk strategies and policies to support sustainable growth
- Contribute to the design and rollout of new products and policies
- Collaborate with cross-functional teams to support launches in new markets and verticals
- Continuously seek to improve risk management processes and strategies through innovation and adopting best practices.
What We’re Looking For
- Bachelor’s or Master’s degree in Finance, Economics, Statistics, or a related field.
- 2–4 years of experience in risk management, fraud analytics, or a related data-driven role preferably in the Fintech sector or related financial services.
- Strong analytical skills and experience with SQL, Python or similar tools
- Understanding of consumer lending, digital wallets, transfers and fintech risk models
- Ability to work independently and in a fast-paced, high-growth environment
- Excellent communication and interpersonal skills, with the ability to convey complex information clearly and concisely.
How we rate this
Risk Data Analyst at Tabby rates 15 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $113k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where risk management 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?
- Tell me about a project where fraud analytics was part of your work. What did you do?
- Tell me about a project where fintech 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 Management, Data Analysis, Fraud Analytics, Fintech, 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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