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Deutsche Bank

Applied AI R&D Analyst , AVP

12-14 Years
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Job Description

Applied AI R&D Analyst , AVP

Position Overview

Job Title: Applied AI R&D Analyst , AVP

Location: Pune, India

Role Description

  • The Deutsche Bank Innovation function within Chief Strategy Office drives the bank's Cloud and Innovation Strategy, thought leadership, technology partnerships and investments, as well as the execution of cloud transformation and cross-bank innovation solutions. The team enables the bank to accelerate and drive business led innovation, and to deliver revenue growth and operational efficiencies for all bank divisions and DB ecosystem of partners.
  • As a Applied AI Analyst, you will be joining the AI Research & Development team, and contribute to the creation of new AI products and services for the entire DB Group. We require technical specialists to help research, design, and implement state of the art AI services, with particular focus on performing technology evaluations of AI products. You will make a real difference for senior stakeholders across core banking functions where computational, complexity and efficiency challenges abound - through your own delivery and through the promotion of modern AI development best practices and techniques.

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

  • Design, develop, and deploy solutions using Advanced Analytics, Machine Learning / AI and cloud technologies that fulfil Deutsche Bank's Innovation Strategy.
  • Conduct market research of AI products, including technology evaluations.
  • Develop and maintain R&D artifacts including research papers, experiment logs, evaluation frameworks, and technical feasibility reports.
  • Contribute to effective and efficient technical research and experiments, by publishing AI research report and building proof-of-concept (POCs).
  • Drive hypothesis-driven research by designing experiments and benchmarking AI models and commercial technologies.
  • Collaborate with the wider teams to explore future hypotheses and emerging technologies (LLMs, AI Agents, Automation, etc.).
  • Foster adoption of AI and ML by collaborating with cross-functional teams and educating stakeholders on AI-driven solutions.
  • Work collaboratively with developers and end-users to deliver working solutions and analytics, in an agile and iterative manner.
  • Stay up to date with the latest advancements in AI and Data Science.

Your skills and experience

  • Strong problem-solving skills and a passion for AI research.
  • Experience with experimental design, hypothesis-driven research, and model evaluation methodologies.
  • Ability to conduct technology benchmarking, vendor product assessments, and comparative evaluations of AI systems.
  • Ability to interpret academic research, summarize findings, and produce R&D artefacts such as technical notes or experiment reports.
  • Strong knowledge of at least one programming language (Python preferred), and relevant data science or engineering framework (e.g., scikit-learn, TensorFlow, Spark, etc.).
  • Experience of working with Cloud Platforms (GCP being a plus).
  • Familiarity with solution architecture concepts and modern cloud-native components relevant to AI development.
  • Understanding of Large Language Models (LLMs), including fine-tuning, prompt engineering, and model evaluation.
  • Good inter-personal skills along with excellent oral and written communication skills in English.

Experience and Education

  • University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Master's or Doctoral degree.
  • 12+ years of overall IT experience and 4+ years in applying AI, machine learning and/or data science in business and/or academia.

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

About us and our teams

Please visit our company website for further information:

We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.

More Info

About Company

At Deutsche Bank, we give original thinkers the space and support they need to shine. Merging local knowledge with global vision, in-depth insight with industry-leading digital expertise, if you&#8217&#x3B;re an innovator by nature, we can help you to unleash your potential.
We see things differently at Deutsche Bank &#8211&#x3B; and we&#8217&#x3B;re proud of our fresh perspective. Today, we&#8217&#x3B;re driving growth through our strong client franchise, investing heavily in digital technologies, prioritising long-term success over short term gains, and serving society with ambition and integrity.
Wherever your interests lie &#8211&#x3B; in investment banking, trading, private wealth, asset management, retail banking - or many of the infrastructure functions that support them &#8211&#x3B; you&#8217&#x3B;ll discover resources, training and opportunities designed to keep you ahead of the curve.
Intelligence has no boundaries: we welcome high-achieving, talented individuals from any background.

Job ID: 144555121