Working Student in IT Governance & Cyber Defense at LBBW, engaging in IT security operations and tasks related to security inquiries. Contributing to the efficiency of IT - Security processes in a major German bank.
About the role
- Risk Analyst focusing on fraud detection and risk management for Fin, a next-gen payments platform. Analyzing digital asset transactions and ensuring compliance with regulations.
Responsibilities
- Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape.
- Take action to resolve automatically flagged transactions and individuals
- File suspicious activity reports as required
- Monitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends.
- Utilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats.
- Create and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents.
- Partner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics.
- Ensure alignment with regulatory requirements, including AML, KYC, and digital asset regulations.
- Draft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders.
- Lead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design.
- Stay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics.
- Develop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework.
Requirements
- Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field.
- 5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments.
- Demonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R).
- Strong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems.
- Experience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention.
- Exceptional analytical and problem-solving skills with a data-driven approach to decision-making.
- Strong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders.
Benefits
- Offers Equity
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