Consultant Data Science Credit Risk (m/w/d)

About the Role

Deloitte delivers leading audit, consulting, tax, legal and advisory services to nearly 90% of the Fortune Global 500® and many private organizations worldwide. With about 470,000 employees, Deloitte fosters career advancement through diversity and a collaborative environment.

You will join the Strategy, Risk & Transactions - Advisory - Financial Risk team, supporting financial institutions to better manage credit risk. This role merges deep technical expertise, industry knowledge, and regulatory insight to create impactful solutions.

Key Responsibilities

• Apply your academic background in developing and deploying credit risk models such as rating models, portfolio risk models, and early warning systems.
• Engage in validation and testing of credit risk models, including applied machine learning and text mining techniques within credit risk workflows.
• Propose innovative ideas to enhance client processes and improve Deloitte’s tools and offerings.
• Contribute to business development by identifying new market opportunities, supporting client acquisition, and assisting proposal preparations.
• Participate actively in product innovation efforts, bringing concepts from development to market readiness.

Candidate Profile

• Degree in economics, (business) computer science, (business) engineering, (business) mathematics, or related field.
• Preferably some initial experience or solid understanding of banking, risk management, supervisory regulations, and credit processes.
• Strong statistical knowledge in areas such as linear and logistic regression or machine learning for estimating risk parameters (PD, LGD, CCF) aligned with Basel II-IV or IFRS 9 frameworks.
• Good IT skills, including familiarity with scripting or programming languages like Python, R, SAS, and relational databases (SQL).
• High motivation, strong teamwork spirit, quick learning ability, and enjoyment of challenging projects.
• Willingness to travel and communicate effectively in German and English, both spoken and written.

Opportunities and Benefits

• Work on exciting projects in an innovative and supportive environment with motivated colleagues eager for your input.
• Attractive salary package and additional benefits including company smartphone for personal use, bike leasing, and corporate discounts.
• Work-life balance supported by mobile working, part-time options, EU remote working, sabbaticals, employee events, health days, fitness partnerships, and family support services.
• Access to top-tier training at Deloitte University and other on- and offline seminars including professional qualification support.
• A diverse and inclusive culture promoted through various employee networks and initiatives.

Additional Information

Applicants should submit CV along with school, university and work certificates via our application portal; no cover letter or photo is required. We welcome applications from candidates of all backgrounds and are committed to equal opportunity.

Contact for career inquiries is our Talent Acquisition Team reachable via email or phone.