Deadline:
As soon as possible
Companies
Location(s)
Germany
Frankfurt am Main
Overview
Group Treasury is at the core of the bank: we manage liquidity, steer interest rate risks and support strategic decision-making. Within this context, you will work on a machine learning project focusing on the analysis and prediction of customer behaviour in mortgage products (Baufinanzierung).
Details
The objective is to better understand key behavioural drivers and improve our modelling approach in close collaboration with IT. This internship is designed for a duration of 3–6 months (preferred: 6 months).
Your tasks include:
- Support the development and improvement of a machine learning model for customer behaviour forecasting
- Analyse large datasets to identify relevant drivers and patterns in mortgage portfolios and key drivers of customer behaviour
- Work closely with Treasury and IT to translate analytical findings into model improvements
- Prepare results and visualizations for internal stakeholders
You will work on a hands-on project with real impact, where you are expected to take ownership and proactively drive topics forward.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
About you
- Student (Bachelor/Master) in Finance, Data Science, Mathematics, Physics, Economics or a related field, or recently graduated within the last 12 months
- Strong analytical mindset and interest in solving real-world and business-related problems using data
- Good programming skills (e.g. Python, SQL) and experience with data processing (Experience with cloud environments is a plus)
- Good experience in machine learning or statistical modelling
- Strong communication skills and ability to translate analytical findings into business insights in collaboration with stakeholders, paired with strong interest in financial products and economic relationships (e.g. lending, customer behaviour, balance sheet dynamics)
- Willingness to proactively work your way into new topics and take ownership
- Fluent in German and English, while experience abroad is considered as a plus (academic or professional)
Dates
Deadline: As soon as possible
Cost/funding for participants
+ More Info / Application
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