Risk Analyst

Tabby

. Analyze credit and fraud risk performance across customer segments and products .

Posted 11/3/2026full-timeRemote • SerbiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in credit risk analysis and fraud analytics, utilizing SQL and Python to drive data-driven decision-making. Capable of developing risk strategies and collaborating with cross-functional teams to optimize portfolio performance in fast-paced environments.

Highest-signal resume keywords

Credit Risk AnalysisFraud AnalyticsSQLPythonConsumer Lending

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Credit Risk AnalysisFraud AnalyticsData AnalysisRisk Strategy DevelopmentRisk Model DesignPortfolio Performance MonitoringAutomation in Risk OperationsTrend IdentificationData-Driven Decision-MakingKey Risk Indicators Monitoring

Soft Skills

Analytical SkillsClear CommunicationBusiness-Oriented MindsetIndependent WorkCollaboration

Industry Keywords

Fintech Risk ModelsBNPLCross-Functional CollaborationMarket Launch SupportHigh-Growth Environment

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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
Work with large datasets to identify trends, monitor portfolio performance, and support risk-balanced decision-making
Collaborate with data, product, finance, and commercial teams to ensure healthy portfolio metrics across multiple markets

Requirements

What you’ll need

2–4 years of experience in credit risk, 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

Benefits

Comp & perks

Fully remote work
Flexible working hours
Autonomy and responsibility from day one
Employee stock options program
Flexi Perks monetary benefit usable for health and well-being, education and professional development, or travel needs