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AI/ML and Knowledge Management, AVP

AI/ML and Knowledge Management, AVP

Deutsche Bank

5 - 10 years

32 - 37 Lacs

Mumbai

Posted:3 days ago| Platform:

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Skills Required

python data analytics alteryx tableau data modeling visualforce risk management dml sap sfdc business analysis banking operations triggers dashboards sql server apex sql salesforce sales force development salesforce crm data loader vp informatica

Work Mode

Work from Office

Job Type

Full Time

Job Description

:
Job Title
AI/ML and Knowledge Management
LocationMumbai, India
Corporate Title:
Assistant Vice President
Role 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 Banks 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 well offer you

100% reimbursement under child care assistance benefit (gender neutral)

Sponsorship for Industry relevant certifications and education

Accident and Term life Insurance

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 IT&IS 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 well support you

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Deutsche Bank

Banking and Financial Services

Frankfurt

approximately 84,000 Employees

2372 Jobs

Key People

Christian Sewing

CEO
Karl von Rohr

President
Garth Ritchie

Former Head of Corporate & Investment Bank

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AI/ML and Knowledge Management, AVP