Fraud Data Analyst

MarTrust; Greater London; Remote; GBP 45,000 - 65,000; Full time

Job summary

Join a leading company as a Fraud Data Analyst, where you will leverage your analytical skills to detect and mitigate fraudulent activities. This remote-first role offers flexibility and the opportunity to work with a dynamic team committed to innovation in the maritime industry.

Benefits

Competitive Salary and Bonus

Flexible, Remote-First Culture

Inclusive Onboarding Experience

Marcura Wellness Zone

Global Opportunities

Monthly Performance Support

Diverse, Supportive Work Culture

Qualifications

• 3-5 years of experience in fraud prevention and data analysis.
• Advanced SQL skills for large dataset analysis.
• Proficient in Python for data analysis and model development.

Responsibilities

• Analyze transaction data to detect fraudulent activities.
• Develop and implement fraud detection models.
• Collaborate with cross-functional teams on fraud prevention.

Skills

Fraud Detection

Data Analysis

SQL

Python

Machine Learning

Statistical Analysis

Data Visualization

Education

Professional certifications in fraud detection or data analytics

Tools

Metabase

Tableau

Power BI

Job description

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Join Marcura as Fraud Data Analyst – A Remote First Opportunity with Flexible Work Culture

About Us

Marcura was founded 23 years ago by two visionary entrepreneurs. Our mission has always been to revolutionize digital processes within the global shipping industry. We achieve this by putting our customers first and creating innovative solutions that make a real-world impact. Our team is diverse, dynamic, and dedicated to driving forward a more efficient, tech-enabled future in maritime.

With over 650 customers across 53 countries, an energetic team of 980+ members worldwide, and ambitious growth targets for 2025, we’re poised for continued success. Now, we’re looking for talented individuals who are as committed to excellence as we are to join us in this exciting journey.

About the Role: Fraud Data Analyst

As a Fraud Data Analyst, you will play a critical role in detecting, analysing, and mitigating fraudulent activities across card and wire transactions. You will work closely with the Transaction Monitoring Manager and the broader Compliance team to ensure the integrity and security of our payment systems. Your role will involve leveraging data analytical skills, Python, SQL, and various analytical tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes.

Your new day-to-day will involve:

• Fraud Detection and Analysis:

o Analyse transaction data to identify patterns and trends indicative of fraudulent activities.

o Investigate and monitor real-time transaction alerts to detect potential card fraud.

o Develop and implement data-driven fraud detection rules and models.

o Analyse false positives to refine and optimize fraud detection systems.

o Ensure that the company's financial practices comply with statutory regulations and legislation.

• Data Management and Analysis:

o Extract, clean, and manage large datasets using SQL and Python for in-depth analysis.

o Utilize data analytics tools to track, analyse, and report on key fraud metrics and KPIs.

o Create dashboards and reports that communicate actionable insights to stakeholders.

o Collaborate with IT and Data teams to improve data quality and accessibility.

o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities.

o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives.

o Document methodologies and results, ensuring they are well understood by both technical and non-technical stakeholders.

• Collaboration with Cross-Functional Teams:

o Work closely with the Product, Operations, Risk, and Compliance teams to respond quickly to emerging threats.

o Support the Transactions Monitoring Manager and Compliance Operations Manager in strategic fraud prevention initiatives and projects.

o Liaise with external partners, including banks, card issuers and processors, payment processors to gather intelligence on evolving fraud trends.

• Regulatory and Compliance Adherence:

o Ensure compliance with UK regulations, including GDPR, PCI DSS, and industry best practices related to card fraud prevention.

o Keep up to date with relevant legislation, ensuring that fraud detection activities are aligned with legal requirements.

o Monitor the effectiveness of existing fraud detection measures and recommend improvements.

o Stay informed about the latest trends in fraud detection and payment technology.

o Participate in fraud prevention workshops, conferences, and training sessions to enhance skill sets.

Qualifications We’re Looking For:

• Professional certifications in fraud detection, data analytics, or related fields are a plus.

• Minimum of 3-5 years of experience in a similar role, with a focus on fraud prevention and data analysis within Fintech or Banking.

o Advanced SQL: Ability to write complex queries for extracting and analysing large datasets.

o Python: Proficient in using Python for data analysis, automation, and model development.

o Data Visualization Tools: Experience with tools like Metabase, Tableau, Power BI, or similar for creating insightful dashboards.

o Machine Learning: Familiarity with machine learning concepts and their application in fraud detection.

o Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory.

• Fraud and Risk Management Expertise:

o In-depth understanding of card fraud typologies and techniques, including phishing, card-not-present (CNP) fraud, and card-present fraud.

o Experience in building and analysing fraud detection rules, thresholds, and scoring systems.

o Awareness of financial industry standards and best practices for fraud detection.

o Strong problem-solving skills with a keen eye for detail.

o Ability to interpret complex data and turn it into actionable insights.

o Familiarity with anomaly detection and pattern recognition techniques.

• Communication and Stakeholder Management:

o Excellent communication skills with the ability to translate complex data findings into clear insights for non-technical stakeholders.

o Experience working within cross-functional teams, effectively managing relationships with internal and external partners.

o Strong report writing and presentation skills.

Why Marcura? Here’s What We Offer:

• Competitive Salary and Bonus: We reward your expertise and contributions.
• Flexible, Remote-First Culture: Work remotely with occasional in-office events and project days to foster collaboration and team spirit.
• Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.
• Marcura Wellness Zone: We value your work-life balance and well-being.
• Global Opportunities: Be part of an ambitious, expanding company with a local touch.
• Monthly Performance Support: Our modern performance management framework empowers you to reach your full potential.
• Diverse, Supportive Work Culture: We’re committed to inclusion, diversity, and a sense of belonging for all team members.

Our Vision and Values

Marcura’s innovative products continue to shape the maritime industry, enhancing productivity and creating a positive, lasting impact. By automating repetitive tasks, we empower maritime professionals to focus on more strategic, rewarding work. We’re proud of our progress in diversity, particularly in increasing gender representation in a traditionally maledominated industry. At Marcura, we believe in hiring exceptional people and fostering a workplace where everyone can thrive.

Ready to make a difference in a rapidly growing, global tech company? Apply today and let’s chart the course forward, together.

For more information about our journey and mission, visit our website and LinkedIn pages.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Legal

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