Senior Data Analyst (Fintech)

TL;DR

Senior Data Analyst (Fintech): Detecting, investigating, and mitigating fraud risks for hirify.global using data, analytics, and judgment, with an accent on real-time decisioning and strategic input. Focus on optimizing fraud rules, supporting machine learning models, and collaborating with Fraud Strategy, Product, and Engineering teams.

Location: Hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year subject to having the right to work in the country of choice.

Company

hirify.global is redefining finance by listening to customers and building a people-centric business that empowers everyone to aim high.

What you will do

• Lead end-to-end fraud analysis using SQL and Python to detect, investigate, and mitigate fraud risks.
• Take real-time analytical input into fraud blocks, controls, and interventions.
• Act as a senior point of escalation during fraud incidents, supporting prioritization and decision making.
• Optimize fraud rules and support the monitoring of machine learning models.
• Create and maintain fraud reporting and dashboards using Tableau.

Requirements

• Analytical experience with advanced SQL.
• Python experience for data analysis.
• Proven ability to own complex, ambiguous analytical problems end-to-end.
• Experience translating analysis into clear, actionable recommendations.
• Confidence working with senior stakeholders in a fast-paced environment.
• Ability to remain calm and make sound decisions under pressure.

Nice to have

• Experience in fraud, financial crime, or risk analytics is a plus.
• Exposure or an interest in fraud decisioning systems or real-time monitoring tools.
• Prior experience in using live decisioning systems or working with machine learning models.
• Background in Fraud/ Fincrime (or similar setting).
• Fintech, banking, or high-growth tech environments would be ideal.

Culture & Benefits

• Flexible ways of working with a hybrid model.
• Face-to-face collaboration and a good work-life balance.
• Option of working from abroad for up to 120 days a year, subject to having the right to work in the country of choice.
• A workplace free from discrimination with a diverse team.

Hiring process

• Recruiter Screening (30 mins): Focus on motivation, problem-solving mindset, technical background, and interest in fraud analytics.
• SQL Technical Assessment (1 hour): Focus on writing clean, accurate SQL.
• Fraud Analytics Case Study (1 hour): Focus on how you approach a fraud problem end-to-end.
• Final Interview (60 mins): Focus on competencies, collaboration, decision-making under pressure, and alignment with Zopa’s values.