Data Analytics Lead – Private Credit/Asset Based Finance

Employer: DWS Group

Title: Data Analytics Lead – Private Credit/Asset Based Finance

Location: London/Frankfurt

Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change.

Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment.

We’re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. That’s why we are ‘Investors for a new now’.

As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career.

This is your chance to invest in your future.

Read more about DWS and who we are here.

The DWS Alternatives business is a diversified set of business activities with approximately EUR 130bn in assets under management in strategies including Private Real Estate, Private Infrastructure, Private Credit, Liquid Real Assets (Real Estate/Infrastructure and Commodity Securities) and Sustainable Investments. The global team invests on behalf of a global client base that includes governments, corporations, institutional investors, as well as a growing UNHW investor group.

Private Credit is a key growth pillar of the EUR 115bn DWS Alternatives franchise. The Private Credit platform aims to build diversified portfolios across direct lending, leveraged loans, capital solutions, asset-based finance and structured credit that deliver attractive risk-adjusted returns with a focus on capital preservation to a broad spectrum of investors including governments, corporations, insurance companies and private clients.

As a Data Analytics Lead for the ABF investments platform, you will be responsible for:

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• Implementing unified underwriting and reporting analytics:
  
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  • Develop statistical analytics and visualizations to support underwriting decisions in collaboration with the investment team.
    
  • Develop and maintain deal-by-deal underwriting models across various asset-based finance transaction types and asset classes.
    
  • Perform ad-hoc quantitative analysis on investment opportunities.
    
  • Facilitate scalable reporting/dashboard automation for internal and external stakeholders.
    
  
  
  
• Design and build-out of in-house scalable Data Warehouse to support investment decision making:
  
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  • Utilise statistical analyses and/or machine learning techniques identify trends and outliers.
    
  • Ensure consistency, quality, reliability and scalability of the underlying data / structure and data infrastructure.
    
  • Implement best practices for data governance and compliance.
    
  
  
  
• Responsible for future strategic scalable analytics initiatives.
  

We are looking for:

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• Strong programming experience in scripting (e.g. Python, R)
  
• Experience with database technologies e.g. SQL and Snowflake and familiarity with data visualisation tools (e.g. Tableau, Power BI).
  
• A working understanding of Excel, and optionally Intex Tools.
  
• Understanding of data modelling and architecture design coupled with strong problem-solving and critical thinking ability.
  
• Interest in Asset-Backed Finance investment strategies (e.g. granular portfolios of residential mortgages, auto loans, credit cards, SME loans, etc.).
  
• Self‑motivated team‑player with effective communication and presentation skills. Ability to explain and train on technical concepts to non-technical stakeholders.
  
• Educated to degree level in a hard science, math, computer science, engineering, economics, or finance related discipline from an accredited college or university, or with relevant experience working in a data driven research environment.
  

Without the ambitions of our people, our achievements wouldn’t be possible. And it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. Whether you’re interested in healthcare, company perks or are thinking about your retirement plan, there’s something for everyone.

DWS’ current Hybrid Working model is designed to find the balance between in‑person collaboration & engagement in the office, which is core to our working culture, whilst still remaining focused on supporting our employees with flexibility. We are committed to support flexible and hybrid working agreements across the globe. Depending on the location or role you are applying for, the split between working in the office and at home will be discussed and made clear as part of your application and interview process.

We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people.

If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long‑term health condition, then please contact your recruiter and let us know what assistance you may need. Examples of adjustments include providing a change to the format of the interview or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you.

We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high‑performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.