Senior Audit Manager - Model Validation (f/m/d)

Solaris is Europe's leading embedded finance platform. Solaris’ full German banking license and proprietary modular B2B tech stack empowers its partners – from SMEs to large, multinational, non-financial companies – to offer compliant, customer-centric banking services, providing seamless experiences to customers across all industries. Founded in 2016, Solaris pioneered the Banking-as-a-Service market with an unparalleled combination of tech and banking. Solaris is headquartered in Berlin and employs 300 people in Europe.

• Independent preparation and planning of Non-IT audits assignments and lead end to end audit engagements.
• Perform deep-dive technical reviews of complex mathematical models, including machine learning architectures and traditional quantitative finance models (e.g., credit risk, market risk, or valuation models).
• Evaluate the mathematical soundness, data lineage, and preprocessing pipelines of AI/ML models to ensure the integrity of inputs, training data, and model outputs.
• Functionally challenge model assumptions, mathematical formulations, and calibration techniques used by quantitative development teams.
• Draft comprehensive audit reports and coordinate findings and recommendations with stakeholders.
• Analysis and independent evaluation of the internal control system and organizational processes.
• Coordinate and guide audit team members during audit engagements, including performing audit quality reviews.
• Independent review and follow-up of internal and external audit findings.
• Deliver concise and impactful management reports on audit outcomes.
• Participate in the review and assurance of the internal control system, compliance, security, and efficiency of processes and systems.
• Independent support of internal projects in line with relevant regulatory requirements (e.g., MaRisk/KWG).

Depending on your level of experience, your responsibilities and scope of role will range. We don’t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let’s figure together out how you can contribute to our team.

• A higher education degree, preferably in Finance, Economics, Business Management, or Law.
• 5+ years of relevant work experience in-house or in an audit/consultancy firm in banking (related to MaRisk/KWG/GwG etc.).
• Experience as an auditor or consultant in auditing techniques (ToD and ToE).
• Experience leading audit engagements including quality audits reviews and management reporting
• Very good knowledge of regulatory standards.
• Strong theoretical and practical understanding of advanced statistics, probability theory, econometrics, and machine learning algorithms (both supervised and unsupervised learning).
• Proven experience in auditing or developing quantitative models, backtesting, stress testing, or sensitivity analysis within a financial or highly regulated context.
• A good understanding of audit software.
• Experience in reviewing code and model implementations using standard data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch).
• Fluent in both English and German communication skills
• Ability to deconstruct information and solve problems.
• A thorough and accurate approach to work.
• Ability to clearly convey information to others.
• Stakeholder Management and 
• Ability to handle disagreements and disputes constructively.
• High level of integrity and strong moral principles.
• Proactive and involved style of working.