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Data/Fraud Analyst
2 months ago
MarTrust is a pioneering company in the digital payment solutions space, catering to the shipping industry. Our innovative products and strong value proposition have garnered significant market attention and fueled substantial growth.
Job SummaryWe are seeking a highly skilled Fraud Data Analyst to join our team. As a Fraud Data Analyst, you will play a critical role in detecting, analyzing, and mitigating fraudulent activities across card and wire transactions.
Key Responsibilities- Fraud Detection and Analysis
- Analyze transaction data to identify patterns and trends indicative of fraudulent activities.
- Investigate and monitor real-time transaction alerts to detect potential card fraud.
- Develop and implement data-driven fraud detection rules and models.
- Analyze false positives to refine and optimize fraud detection systems.
- Data Management and Analysis
- Extract, clean, and manage large datasets using SQL and Python for in-depth analysis.
- Utilize data analytics tools to track, analyze, and report on key fraud metrics and KPIs.
- Model Development
- Build and maintain predictive models using machine learning algorithms to identify fraudulent activities.
- Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives.
- Collaboration with Cross-Functional Teams
- Work closely with the Product, Operations, Risk, and Compliance teams to respond quickly to emerging threats.
- Support the Transactions Monitoring Manager and Compliance Operations Manager in strategic fraud prevention initiatives and projects.
- Regulatory and Compliance Adherence
- Ensure compliance with UK regulations, including GDPR, PCI DSS, and industry best practices related to card fraud prevention.
- Keep up to date with relevant legislation, ensuring that fraud detection activities are aligned with legal requirements.
- Continuous Improvement
- Monitor the effectiveness of existing fraud detection measures and recommend improvements.
- Stay informed about the latest trends in fraud detection and payment technology.
- Participate in fraud prevention workshops, conferences, and training sessions to enhance skill sets.
- 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.
- Technical Skills:
- Advanced SQL: Ability to write complex queries for extracting and analyzing large datasets.
- Python: Proficient in using Python for data analysis, automation, and model development.
- Data Visualization Tools: Experience with tools like Metabase, Tableau, Power BI, or similar for creating insightful dashboards.
- Machine Learning: Familiarity with machine learning concepts and their application in fraud detection.
- Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory.
- Fraud and Risk Management Expertise:
- In-depth understanding of card fraud typologies and techniques, including phishing, card-not-present (CNP) fraud, and card-present fraud.
- Experience in building and analyzing fraud detection rules, thresholds, and scoring systems.
- Awareness of financial industry standards and best practices for fraud detection.
- Ability to interpret complex data and turn it into actionable insights.
- Excellent communication skills with the ability to translate complex data findings into clear insights for non-technical stakeholders.
- Strong report writing and presentation skills.
Marcura is a leading company in the digital payment solutions space, catering to the shipping industry. Our innovative products and strong value proposition have garnered significant market attention and fueled substantial growth.
We are committed to preserving our culture of inclusion and diversity, making us stronger as a company and ensuring we serve our diverse customers in the best possible way.
We welcome applications from people with disabilities, who may appreciate the flexibility of our remote work policy.
We offer a highly competitive salary and various other benefits, including an extensive and inclusive onboarding process, flexibility to maintain a healthy work-life balance, employment with a local team, and a modern performance management framework designed to support your monthly growth and unleash your maximum potential.