Aml Kyc à Allemagne

Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, and enables organisations to enforce sanctions at scale to help combat rogue entities and state actors.

Team mission:
Our Product team build powerful elegant financial crime products, anchored in a continuous innovation culture, to enable customers to make sense of private and public data - both structured and unstructured - identifying risks, threats and crimes.

What you'll be doing:
We are seeking a highly motivated and detail-oriented Product Manager to own the development and management of our model governance reporting framework, specifically tailored for customer screening solutions within a regulated environment. This role is pivotal in ensuring our products meet stringent regulatory requirements and provide our clients with transparent and auditable insights into the performance and compliance of our AI/ML models. You will be the bridge between our data science, engineering, compliance, and client-facing teams, translating complex regulatory requirements into actionable product features and reports.

Key tasks:

1. Understand Customer Needs: Liaise with customers and customer-facing staff to fully appreciate their needs.
2. Define and Drive Product Vision: Develop and maintain a clear product roadmap for model governance reporting, aligned with evolving regulatory landscapes (e.g., AML/KYC, sanctions screening).
3. Regulatory Expertise: Maintain a deep understanding of relevant regulations and industry best practices related to AI/ML model governance and customer screening.
4. Requirements Gathering and Analysis: Collaborate with compliance, legal, and risk teams to gather detailed requirements for reporting and documentation needed to meet regulatory obligations.
5. Report Design and Development: Define and prioritize reporting features, including performance metrics, explainability, audit trails, and bias monitoring, ensuring they meet client and regulatory needs.
6. Data Integrity and Validation: Ensure the accuracy and completeness of data used for reporting, working closely with data engineering and data science teams to establish robust data quality controls.
7. Client Collaboration: Engage with clients to understand their reporting needs and provide guidance on interpreting and utilizing model governance reports.
8. Cross-Functional Collaboration: Work closely with engineering, data science, and UX/UI teams to deliver high-quality, user-friendly reporting solutions.
9. Documentation and Training: Create comprehensive documentation and training materials for internal and external stakeholders on model governance reporting.
10. Performance Monitoring and Optimization: Continuously monitor the performance of reporting features and identify opportunities for improvement and automation.
11. Risk Management: Identify and mitigate potential risks associated with model governance and reporting, ensuring compliance with internal and external policies.
12. Staying Current: Keep abreast of the latest advancements in AI/ML model governance and regulatory changes impacting customer screening.

1. Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Finance, Law) or equivalent experience.
2. Minimum of 5 years of product management experience, preferably in the financial services or RegTech industry.
3. Strong understanding of AI/ML model governance principles and regulatory requirements related to customer screening (AML/KYC, sanctions).
4. Experience working with data-intensive products and reporting tools.
5. Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
6. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and clients.
7. Great stakeholder and customer engagement skills.
8. Strong knowledge of product management lifecycle.
9. Exposure to an Agile methodology.
10. Ability to create product development and marketing strategies.
11. Appreciation of enterprise software design standards and SaaS best practices.

1. Competitive base salary DOE.
2. 25 days annual leave + your birthday off, rising to 30 days after 5 years of service.
3. Remote working.
4. Private Family Healthcare.
5. Life Assurance.
6. Employee Assistance Programme.
7. Company contributions to your pension.
8. Pension salary sacrifice.
9. Enhanced maternity/paternity pay.
10. The latest tech including a top of the range MacBook Pro.
11. There is a well-stocked pantry with food, snacks and drinks when in the office.