Data Engineer, AVP

Position Overview

Job Title: Data Engineer

Corporate Title: Assistant Vice President

Location: Bangalore, India

Role Description

• Investment Bank and Cross Product Operations (IBCPO) is fully integrated, front-to-back aligned delivery model providing transaction, reporting and cash management services to Deutsche Bank’s multi-asset global businesses including IB – FIC Sales and Trading, Corporate Bank and Capital Release Unit. Operational services include core trade date middle offices, controls and regulatory reporting, margin, liquidity as well as tax and asset servicing.
• 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 process re-engineering, automation, and data analytics.
• Execute target operating model strategies for key operational processes, including system architecture, 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
• Responsibility to be a partner in delivering global process change. 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 & Experience

10+ year in financial services, preferably Investment Banking Operations

• Skillset for data analysis – 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 expertise but also more traditional technical skillsets e.g., SQL database knowledge.
• Data Lineage, data quality and data modelling experience
• Machine learning experience is mandatory.
• B tech / M tech 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

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

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:

https://www.db.com/company/company.htm

We strive for a culture 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.