Fraud and Risk Strategy Analyst

TN United Kingdom; London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

An established industry player is seeking a skilled data analyst to join their fraud operations team. In this hybrid role, you'll translate complex data into actionable insights, enabling the business to enhance its fraud controls. Your analytical skills will be crucial in identifying root causes of issues and presenting findings to senior leadership. This innovative firm values employee welfare, offering comprehensive benefits and a commitment to diversity and inclusion. If you're passionate about data and eager to make an impact, this opportunity is perfect for you.

Benefits

Healthcare

Well-being programs

Parental leave

Pensions

Generous annual leave

Qualifications

• 3+ years of experience in data analysis and fraud/abuse analytics.
• Proficiency in SQL and data visualization tools.

Responsibilities

• Translate data into actionable insights for stakeholders.
• Identify opportunities for automation in fraud operations.

Skills

Data Analysis

SQL

Data Visualization

Problem Solving

Curiosity

Tools

Looker

Job description

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About the Role

The Trust team works to build trust and keep bad actors out of all sides of our marketplace: consumers, riders, and partners. You will work within our fraud operations team to translate questions and hypotheses into structured analysis, help the business understand root causes of issues, and highlight areas of improvement for our product and data science teams. To succeed in this role, you must have analytical and data presentation skills, be focused on completing tasks, and support everyone on the team.

What You Will Be Doing

1. Work directly with business, tech, and stakeholders to translate questions and hypotheses into structured analysis.
2. Translate data into actionable insights and communicate them to key stakeholders and senior leadership.
3. Define, measure, and track success metrics for changes to our fraud controls.
4. Design and influence operational best practices for reporting and analytics to enable the team to scale.
5. Create, build, and maintain documentation to support our business operations.
6. Identify opportunities for automation.
7. Participate in quarterly and strategic planning discussions.
8. Report to the Senior Manager, Fraud Operations.

What You Will Need

1. 3+ years of experience in data analysis.
2. Proficiency in data querying, wrangling, transformation, and SQL.
3. Data visualization and presentation skills using BI tools (Looker preferred).
4. Effective problem-solving skills.
5. A curiosity to learn and develop in the fraud domain.
6. Prior experience working at a tech company.
7. Experience in fraud/abuse analytics is preferred.

Additional Information

This is a hybrid opportunity.

Why Deliveroo?

Our mission is to transform the way you shop and eat, bringing the neighborhood to your door by connecting consumers, restaurants, shops, and riders. We aim to make access to food and products more convenient and enjoyable, offering opportunities to buy what you want, when and where you want it.

At Deliveroo, we prioritize employee welfare and offer benefits such as healthcare, well-being programs, parental leave, pensions, and generous annual leave. Benefits vary by country; please ask your recruiter for more details.

Diversity & Inclusion

We believe a great workplace reflects the diversity of the world we live in. We welcome applicants regardless of gender, race, sexuality, religion, or personal preferences. We are committed to equity and inclusion in our hiring process and are happy to make adjustments to support applicants' needs. Please let us know if you require accommodations.

For more information, view our candidate privacy policy. Note that if you are not a passport holder for the country of the vacancy, you might need a work permit. All applications should be submitted via the 'Apply now' button. Do not provide bank or payment details during application.

Created on 26/04/2025 by TN United Kingdom.