Lender Finance EU - Associate

Deutsche Bank is hiring a Lender Finance EU - Associate. Level rates it ; you can apply on Deutsche Bank.

Level's read on this job

On Level's scale, this finance role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include Python, SQL and Excel.
Level classifies it as a mid-level role.
Level lists 1,100+ other open roles at Deutsche Bank.

AI in this role

Lender Finance Associate handling private credit underwriting, data analysis, and predictive risk monitoring tools in Mumbai.

PythonSQLExcelVBA

data-analysisunderwritingportfolio-surveillancepredictive-analyticsetl

Job Description:

Job Title- Associate

Location- Mumbai

Role Description:

Lender Finance EU is a market-leading private credit financing platform providing bespoke financing solutions to leading direct lending funds and private capital providers across Europe. With 22+ years of experience in the US and 16+ years in Europe, the franchise sits at the center of the rapidly growing private credit market, offering exposure to complex structured transactions, portfolio analytics, and innovative financing solutions.

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:

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

Please visit our company website for further information:

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

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.

How we rate this

Lender Finance EU - Associate at Deutsche Bank rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Lender Finance EU - Associate is an open job at Deutsche Bank.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in (do not use) Mumbai Nirlon Know. Pk B4-B5.
The job was posted on September 23, 2026.
Seniority: mid.
Applications are handled by Deutsche Bank. Apply on Deutsche Bank

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisUnderwritingPortfolio SurveillancePredictive AnalyticsETLPythonSQLExcel

Also common in finance jobs at this level

Generative AI AI agents AWS Databricks Snowflake LLM

Pay

Typical finance job: $105k

This posting doesn't list pay. Use the typical finance figure when pay comes up. See finance jobs

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where underwriting was part of your work. What did you do?
Tell me about a project where portfolio surveillance was part of your work. What did you do?
Tell me about a project where predictive analytics was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Analysis, Underwriting, Portfolio Surveillance, Predictive Analytics, and ETL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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