Senior Anti-Fraud Analyst

October 16, 2026

Remote

Senior

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English is required

Description

A senior hands-on anti-fraud analyst role focused on improving fraud detection accuracy and signal quality across products. The work involves live production data: investigating emerging fraud patterns, tuning detection logic, and validating which signals, rules and models reliably catch suspicious activity. The employer builds AI-powered trust infrastructure covering identity verification, fraud prevention, transaction monitoring and risk workflows for clients in finance, crypto, mobility and gaming

Responsibilities

Explore live data to identify emerging fraud patterns, anomalous activity, and gaps in existing detection logic
Develop and tune fraud detection approaches using rules, supervised and unsupervised models, anomaly detection, and link-based analysis
Evaluate the accuracy, completeness, and predictive value of fraud signals and identify where they need to be fixed or improved
Analyse client traffic and alert flows, measure false positives and missed fraud, and recommend concrete improvements
Build and optimise baseline rule sets and proactive alerts for common and emerging fraud scenarios
Turn analytical findings into clear product recommendations and support complex, data-intensive client cases when needed

Requirements

4+ years of experience in anti-fraud, risk analytics, applied data science, or another analytical role involving complex data and anomaly detection
Strong knowledge of exploratory data analysis and classical machine learning, including supervised and unsupervised approaches
Practical experience with anomaly detection, clustering, and link-based or graph analysis
Hands-on experience in fraud prevention or fraud analytics
Strong Python and SQL skills
Hands-on experience with ClickHouse, Trino, Superset, dbt, DataHub, or comparable analytics tools
Strong judgement when working with raw and imperfect data, including identifying data-quality issues, bias, leakage, overfitting, and misleading model results
Ability to evaluate detection quality through false positives, false negatives, and other relevant metrics
Ability to explain complex findings through clear logic, numbers, and concrete examples
Confident but critical use of AI-assisted analytical tools, including the ability to validate their outputs
Fluency in English

Conditions

Remote-first, trust-based culture with no mandatory office days and no attendance trackers
Flexible working hours without a fixed 9-to-5 schedule
Extra time off: birthday holiday, 10 personal days each year, seven sick days without paperwork, and additional Christmas and New Year time
Fair and transparent compensation benchmarked to the market
Clear goals, open feedback, personal development plans, learning opportunities, and coverage of role-specific events
Financial bonuses for marriage and welcoming a new baby
Team offsites a few times a year with fully covered trips
Access to the tools and hardware needed to do the work
Hiring stages: TA screening, Hiring Manager Interview, Final Interview