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629 DWS Investment Jobs
AI/ML and Knowledge Management, AVP
DWS Investment
posted 3hr ago
Job Role Insights
Key skills for the job
Job Description
- The AI/ML and Knowledge Management team will drive the build of 1 LOD data analytics and knowledge management capability, with a view towards supporting a proactive risk management function. The candidate will take active responsibility in developing solutions to achieve strategic and business objectives. The candidate will provide technical expertise and use large language models (AI/ML) effectively to build solutions to ensure continuous development of risk MI, data models for Risk and Control assessments, regulatory sentiment analysis, and knowledge management for Technology Risk across CB, IB and Ops divisions.
- The 1st line Tech Risk function for business divisions (CB, IB and Ops) at Deutsche Bank sits within the Divisional Control Office. CB and IB front to back have the largest footprint as a risk bearing function within the banking divisions and you will be part of a dynamic team which is consistently in demand for providing insights, assessments and managing IT and IS risks on behalf of the business.
- As part of the team, you will join the Bank s journey and contribute towards our strategic goal of managing technology risk within appetite whilst enabling adoption of emerging and new technologies for business growth. You will do so through promoting a data-enabled risk management function, that provides business division aligned insights for informed decision making.
- The role will work closely with stakeholders within the team and in business divisions to gather requirements and provide innovative solutions for risk insights and analytics capabilities. This role will report directly to the AI/ML and Knowledge Management Lead and has no line management responsibilities.
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 child care 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
- Establish and maintain a risk reporting model for IT and IS risk. This includes operational and risk dashboards for senior management views.
- Develop a knowledge management model which helps create a structured and indexable central repository for regulatory responses and presentations for various councils.
- Leverage opportunities to design innovative solutions that facilitate the periodic Risk and Control assessments with singular view of contextual and reference data.
- Develop process models that aid intelligent response production for multiple and global regulatory and external queries.
- Be a catalyst and an enabler for sustainable ITIS risk reduction in-line with changing regulatory landscape and overall internal controls framework.
- Partner with reporting functions in other teams to ensure alignment with business needs and group risk management framework.
Your skills and experience
- Minimum 5 years experience in Data Analytics - designing and implementation of data models and creating meaningful dashboards that drive insights.
- Overall experience in similar roles in a Technology division or in a Banking Technology division or IT audit in a cross-cultural and diverse operating environment
- Good understanding of Industry best practices over how risk data or AI models are defined, and data quality and integrity is maintained.
- Programming Language - Python, MS SQL and Data analytics and visualization tools - Tableau, SAP objects, Informatica, Alteryx.
- Experience in developing data standards, processes, and policies, as well as developing and implementing enterprise data strategies, operational data stores and data quality tools.
- Experience with dimensional modeling, change data capture methods and implementation of data warehouse and data lake house architectures.
- Strong team player with a result-oriented mindset and ability to deliver under tight timelines.
- Must be comfortable with navigating ambiguity to extract meaningful risk insights.
How we ll support you
- Training and development to help you excel in your career
- Flexible working to assist you balance your personal priorities
- 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
Employment Type: Full Time, Permanent
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