Fraud Detection Analyst

Fraud Detection Analyst

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data to detect fraud and create rules to protect our platform.
  • Company: Join Trustpilot, a leading consumer review platform on a mission to build trust.
  • Benefits: Enjoy flexible working, competitive pay, 25+ days holiday, and wellness perks.
  • Why this job: Make a real impact in online trust while collaborating with a fun, diverse team.
  • Qualifications: Experience in data analytics or similar roles; SQL skills are a must.
  • Other info: We value diversity and encourage all backgrounds to apply!

The predicted salary is between 36000 - 60000 £ per year.

At Trustpilot, we’re on an incredible journey. We’re a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world’s largest independent consumer review platform, and while we’ve come a long way, there’s still so much exciting work to do. Come join us at the heart of trust!

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

You’ll work on complex, often ambiguous challenges in the ever-evolving world of online trust. If you love solving problems, diving into data, and making a real difference - this is your chance. You’ll be joining a collaborative, inquisitive team that values transparency, fairness, and a good sense of humour. As part of the wider Trust & Transparency team, we’re driving change across the business—and working to make Trustpilot the universal symbol of trust online.

What You’ll Be Doing

  • Identify fraud trends and curate a deep understanding of fraudulent behavior on our platform via expert use of SQL, Google BigQuery, and Google Looker.
  • Formulate rules off the back of your own analysis to mitigate fraudulent behavior across our platform.
  • Carry out ad-hoc investigations of escalated cases related to potential misuse of our platform and assist with media, legal, and customer cases.
  • Partner with our data science experts to propel our technological and procedural approaches to the forefront of identifying fraudulent activity.
  • Work closely with our engineering teams to enhance internal tools and databases that enable us to combat fraud and scale effectively.
  • Act as the go-to person for other departments within Trustpilot to provide analysis of customer and reviewer behavior on the platform.
  • Presenting and communicating the results of analyses and investigations to a variety of stakeholders across the department and wider company.
  • Work closely with and report to our Lead Fraud & Investigation Analyst.

Who You Are

  • Proven experience in a data analytics or similar analytical role — whether through formal education (e.g. a degree in Science, Mathematics, Computer Science) or relevant industry experience.
  • Proven experience working with large datasets.
  • Experience in answering difficult questions using large datasets and the ability to translate complex data into easily understandable reports.
  • Experience writing queries and preparing reports using SQL or equivalent language.
  • Motivated to pursue self-learning and broaden your competencies when presented with fresh obstacles.
  • Prior knowledge of formulating rules to combat fraudulent behavior is a bonus.
  • The capability to handle various assignments simultaneously with a forward-thinking mindset.

What’s In It For You

  • A range of flexible working options to dedicate time to what matters to you.
  • Competitive compensation package + bonus.
  • 25 days holiday per year, increasing to 28 days after 2 years of employment.
  • Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community.
  • Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist.
  • Pension and life insurance.
  • Health cash plan, online GP, 24/7, Employee Assistance Plan.
  • Full access to Headspace, a popular mindfulness app to promote positive mental health.
  • Paid parental leave.
  • Season ticket loan and a cycle-to-work scheme.
  • Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for.
  • Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials.
  • Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more.
  • Independent financial advice and free standard professional mortgage broker advice.
  • Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career.

Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust.

Fraud Detection Analyst employer: Trustpilot

At Trustpilot, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration, transparency, and personal growth. As a Fraud Detection Analyst in our London office, you'll enjoy flexible working options, competitive compensation, and rich learning opportunities through the Trustpilot Academy, all while contributing to our mission of building trust online. With a focus on employee well-being, including health benefits and volunteering days, Trustpilot is dedicated to creating an inclusive environment where every team member can thrive.
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Contact Detail:

Trustpilot Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Fraud Detection Analyst

✨Tip Number 1

Familiarise yourself with SQL and data analysis tools like Google BigQuery and Google Looker. Being able to demonstrate your proficiency in these tools during interviews will show that you're ready to hit the ground running.

✨Tip Number 2

Stay updated on the latest trends in fraud detection and prevention. Understanding current challenges in the industry can help you engage in meaningful discussions during your interview, showcasing your passion for the role.

✨Tip Number 3

Prepare to discuss specific examples of how you've used data to solve complex problems in previous roles. This will highlight your analytical skills and ability to translate data into actionable insights, which is crucial for a Fraud Detection Analyst.

✨Tip Number 4

Network with professionals in the fraud detection field. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, increasing your chances of landing an interview with us at Trustpilot.

We think you need these skills to ace Fraud Detection Analyst

Data Analysis
SQL
Google BigQuery
Google Looker
Pattern Recognition
Fraud Detection Techniques
Report Writing
Problem-Solving Skills
Attention to Detail
Communication Skills
Collaboration
Adaptability
Critical Thinking
Self-Learning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and fraud detection. Use specific examples that demonstrate your ability to analyse large datasets and formulate rules to combat fraudulent behaviour.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and problem-solving. Mention how your skills align with Trustpilot's mission to become the universal symbol of trust and provide examples of past experiences that showcase your analytical abilities.

Showcase Technical Skills: Emphasise your proficiency in SQL and any experience with tools like Google BigQuery and Google Looker. Provide examples of how you've used these tools to identify trends or solve complex problems in previous roles.

Prepare for Potential Questions: Anticipate questions related to your analytical process and how you approach problem-solving. Be ready to discuss specific instances where you've successfully identified fraud trends or improved processes in your previous roles.

How to prepare for a job interview at Trustpilot

✨Show Your Analytical Skills

As a Fraud Detection Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used SQL or similar tools to identify trends and solve problems in previous roles.

✨Understand Fraudulent Behaviour

Familiarise yourself with common fraud patterns and behaviours. During the interview, demonstrate your understanding of these concepts and how you would apply this knowledge to enhance Trustpilot's fraud detection efforts.

✨Communicate Clearly

You'll need to present your findings to various stakeholders. Practice explaining complex data insights in simple terms, as effective communication is key to ensuring everyone understands the implications of your analyses.

✨Emphasise Collaboration

Trustpilot values teamwork, so highlight your experience working with cross-functional teams. Share examples of how you've partnered with others, such as data scientists or engineers, to achieve common goals in fraud detection.

Fraud Detection Analyst
Trustpilot
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