Corporate Banking and Cross Product F2B Ops Transformation – Data Science Engineer, VP

Description Corporate Bank Operations (CB Operations) is an integrated delivery model, in a continuous process of front-to-back alignment providing transaction, reporting and cash management services to Deutsche Bank’s multi-asset global businesses including CB Business – Cash Management, Trust and Agency Services, Trade Finance and Lending, as well as Security Services. Deutsche Bank is going through a significant transformation of its front-to-back operations including IBCPO, marked as one of the banks top 3 transformation agendas. The role will report to the India Head of Investment Bank and Cross Product F2B Operations. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Be part of the journey of establishing centers of excellence for AI-driven process re-engineering, automation, and advanced data analytics . Execute target operating model strategies for key operational processes, including AI-enabled system architecture, intelligent process controls, and location strategy . Actively partner with various functional leads & teams in execution of front-to-back transformation focused on improving client experience, risk management capabilities and driving efficiency. Design and implement Agentic AI frameworks for autonomous decision-making and workflow optimization . Build intelligent document processing pipelines leveraging Doc AI for unstructured data extraction and classification . Ensure change management is completed in a controlled and robust manner, with rigorous, automated testing and including appropriate business resiliency, audit, and regulatory standards. Your skills and experience 6+ years in financial services, preferably Corporate Banking Operations. Skillset for data engineering and analytics – building repeatable/reusable assets; using data for analysis and driving business outcomes; comfortable with data models and joining fragmented data sets. Include skills for tools such as Alteryx, Tableau , and modern AI/ML frameworks (Python, PyTorch/TensorFlow), as well as traditional technical skillsets e.g., SQL database knowledge. Must have any of the Corporate Banking domain experiences – Cash Management (Preferrable), Trust and Agency Services, Trade Finance and Lending, Security Services, Transaction Banking, Fund Accounting, Corporate Action . Experience in Data Lineage, Data Transformation, data quality and data modelling . Exposure to LLM-based solutions, prompt engineering, RAG (Retrieval-Augmented Generation) techniques, and vector databases is a strong plus. B Tech / M Tech / Data Science (full-time) from premier institutes is an added advantage. Hands-on experience who can describe the data and create recommendations and improvements. Effective communication, presentation and influencing skills. Critical problem-solving skills, able to think tactically and strategically. Organized, able to manage multiple priorities and achieve target deadlines. Reliable and resilient, experience of dealing with challenging situations. Able to work constructively in a matrix organization. How we’ll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.