Associate - Lender Finance EU

Deutsche Bank; Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Leave policy

Parental leaves

Childcare reimbursement

Certifications sponsorship

Employee Assistance Program

Hospitalization Insurance

Life Insurance

Health screening

Job summary

Deutsche Bank in Mumbai is seeking a mid-level data analytics professional to perform data analysis, asset due diligence, and deal monitoring using advanced analytics and AI-enabled tools. You will reconcile data from multiple sources, build dashboards, and develop automated monitoring for portfolio performance.

The role emphasizes Python/SQL/Excel expertise and experience with ETL, BI dashboards, and AI/ML techniques to drive risk insights and automation within underwriting processes.

Qualifications

• Strong technical and quantitative academic background from a top tier engineering school.
• Proficiency in Python, SQL, MS Excel, VBA.
• Knowledge of ETL (Power Query), dashboarding (Power BI/Tableau), and modern data architecture concepts.
• Exposure to AI/ML, predictive analytics, data automation and large-scale data processing.
• Excellent communication skills.
• Desire to work in a fast paced, challenging environment.
• Commitment to continuous learning and adoption of emerging technologies.
• Superior analytical aptitude and problem-solving abilities.
• 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.

Responsibilities

• Data analysis and asset due diligence at the time of deal underwriting utilizing advanced analytics and AI-enabled tools where appropriate. (pre-execution)
• Deal monitoring through the life of the transaction (post-execution).
• Analyze and reconcile data from multiple sources (loan tapes, asset memos, financial statements and quarterly performance reports) using automated data pipelines and analytical tools.
• Synthesize detailed asset-level information into a clear, holistic view of asset pool performance, identifying key trends, concentrations, performance drivers and emerging risks.
• Build and maintain dashboards, automated monitoring tools and management reporting solutions that provide timely, accurate and actionable insights.
• Efficient handling and analysis of historical data utilizing Python, SQL, Excel, VBA and AI/ML techniques, with the aim of: Creating a deeper understanding of portfolio performance and risk drivers. Calculating relevant measures of historical and projected performance. Developing predictive analytics and automated risk monitoring capabilities.
• Support the development and enhancement of data-driven underwriting, portfolio surveillance and reporting frameworks through automation and emerging technologies.

Skills

Python

SQL

MS Excel

VBA

Education

Engineering degree

Tools

Power Query ETL

Power BI

Tableau

AI/ML tooling

Job description

What we’ll offer you

• 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

Data analysis and asset due diligence at the time of deal underwriting utilizing advanced analytics and AI-enabled tools where appropriate. (pre-execution)

Deal monitoring through the life of the transaction (post-execution).

Analyze and reconcile data from multiple sources (loan tapes, asset memos, financial statements and quarterly performance reports) using automated data pipelines and analytical tools.

Synthesize detailed asset-level information into a clear, holistic view of asset pool performance, identifying key trends, concentrations, performance drivers and emerging risks.

Build and maintain dashboards, automated monitoring tools and management reporting solutions that provide timely, accurate and actionable insights.

Efficient handling and analysis of historical data utilizing Python, SQL, Excel, VBA and AI/ML techniques, with the aim of: Creating a deeper understanding of portfolio performance and risk drivers. Calculating relevant measures of historical and projected performance. Developing predictive analytics and automated risk monitoring capabilities.

Support the development and enhancement of data-driven underwriting, portfolio surveillance and reporting frameworks through automation and emerging technologies.

Your skills and experience

• Strong technical and quantitative academic background from a top tier engineering school
• Proficiency in Python, SQL, MS Excel, VBA
• Knowledge of ETL (Power Query), dashboarding (Power BI/Tableau), and modern data architecture concepts
• Exposure to AI/ML, predictive analytics, data automation and large-scale data processing
• Excellent communication skills
• Desire to work in a fast paced, challenging environment
• Commitment to continuous learning and adoption of emerging technologies
• Superior analytical aptitude and problem-solving abilities
• 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

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.

Experience Level Mid Level