Fraud Analyst

AnaVation LLC; Greater London; Hybrid; GBP 45,000 - GBP 65,000; Full time

Job summary

A technology company in travel is seeking a Fraud Analyst to uncover fraud patterns and help protect its platform. The role requires strong data analytics skills, SQL proficiency, and the ability to communicate findings effectively. The ideal candidate will thrive in a collaborative environment focused on combating fraud and ensuring secure payment processes. The position offers a competitive salary with equity, a hybrid working model, and several employee benefits.

Benefits

Competitive salary + equity

Work from anywhere policy

Duffel travel allowance

Generous parental leave

Sabbatical programme

Office in Shoreditch + team socials

Qualifications

• Experience in data analytics or a similar analytical role.
• Ability to manage multiple priorities effectively.
• Motivated by self-learning and growing skills.

Responsibilities

• Identify and analyze fraud trends using SQL and data analytics.
• Develop rules to mitigate fraudulent behavior.
• Conduct investigations of escalated fraud-related cases.

Skills

Data analytics experience

Large dataset interpretation

SQL proficiency

Problem-solving using data

Tools

Google BigQuery

Google Looker

Job description

Fraud Analyst

London | Full-time | Hybrid | Shoreditch/Liverpool Street

Overview

We are rebuilding the infrastructure that underpins the travel industry, simplifying systems and building tools to make the future of travel effortless. Central to this mission is ensuring seamless, secure and reliable payment experiences, which are crucial for every transaction and a cornerstone of trust in our platform.

The Role

We’re looking for a curious and analytical Fraud Analyst to join our team. You’ll analyse data, spot patterns, and write detection rules that help stop fraud in its tracks, playing a vital role in protecting travellers, businesses, and the integrity of our platform.

You’ll work on complex, often ambiguous challenges in the ever-evolving world of travel payments and bookings. If you love solving problems, diving into data, and making a real difference, this is your chance.

What You'll Do

• Identify fraud trends and develop a deep understanding of fraudulent behaviour on our platform through SQL, Google BigQuery, and Google Looker
• Formulate rules based on your analysis to mitigate fraudulent behaviour across our platform
• Carry out investigations of escalated cases related to potential misuse of our platform and assist with legal and customer enquiries
• Partner with our data science and engineering teams to advance our technological approaches to identifying fraudulent activity
• Work closely with engineering to enhance internal tools and databases that enable us to combat fraud and scale effectively
• Act as a key resource for other departments by providing analysis of customer and booking behaviour on the platform
• Present and communicate the results of analyses and investigations to stakeholders across the company

You'll Thrive Here If

• You have experience in data analytics or a similar analytical role (through formal education or practical experience)
• You're comfortable working with and interpreting large datasets
• You have a knack for answering difficult questions using data and translating complex findings into clear, actionable reports
• You're proficient in writing queries and preparing reports using SQL or similar
• You're motivated by self-learning and growing your skills when faced with new challenges
• You can manage multiple priorities effectively with a proactive, forward-thinking mindset
• Bonus: Prior knowledge of formulating rules to combat fraudulent behaviour or experience in travel/payments

What You'll Get

• 💰 Competitive salary + equity (you'll own part of Duffel)
• 🏝️ Work from anywhere policy
• 🛩️ Duffel travel allowance (use what we build)
• 🍼 Generous parental leave
• 🧘 Sabbatical programme
• 🪩 Office in Shoreditch + regular team socials

Why Now Matters

As we scale to millions of bookings, fraud prevention becomes critical. You'll build the systems and rules that protect our platform from day one of this function, defining how we approach trust and security as we grow.

Equal Opportunity

We’re an equal opportunities employer. We believe that the key to our success is employing a diverse team, which is why recruitment decisions are only based on your experience and skills. We welcome applications from everyone, regardless of age, sex, disability, sexual orientation, race, religion, or belief.

Note to recruitment agencies: Duffel does not accept speculative CVs from external parties. Any unsolicited CVs sent to us will be treated as property of Duffel, and any attached terms and conditions associated with these CVs will be null and void.