Exaloan

Full Time Data Analyst

Financial Service Technology Company in Frankfurt, Germany 

Who Are We?

We are Exaloan, a financial services technology company. We provide institutional investors with cutting-edge tools to invest globally in digital loans. We operate at the intersection of asset management, software development, and advanced analytics with the ambition to drive innovation in one of the fastest-growing FinTech sectors. And we are unstoppable to reach our goals. 

Who Are We Looking For?

You are open-minded, self-driven and an expert in your field. You are eager to work in the Fintech industry and want to join our team and contribute to the growth of the company. You work independently and like to take on responsibility and your own projects.

Your Role

  • You will be working directly with the founding partners of industry experts with more than 100 years of combined experience across the fields that are at the heart of what we do: capital markets, portfolio management, banking law, software engineering and machine learning.
  • You will be a full member of our Software Development team from day one.
  • You will be in charge of your own projects.
  • You determine the effectiveness and certainty of new data sources and data gathering approach as well as data quality.
  • Developing and operating data integration pipelines to provide high quality datasets for analytical and machine learning use-cases.
  • Collaborate closely with our business developers, data scientists and software engineers to develop and test new ideas and data pipelines  
  • Work independently on standardising data from various clients and ensuring that the standards are up to date.
  • Analyze large structured and unstructured data sets and derive insights from them.
  • Build and maintain the infrastructure to measure key performance indicators and report financial performance for our clients.
  • You will manage components of our analytics infrastructure from data engineering to visualization.

Your Profile

  • You have a Bachelor’s or Master’s degree preferably in the field of Computer Science, Information technology, Applied math, or a comparable field.
  • You already have some practical work experience in a relevant field, ideally >2 years.
  • You have an analytical mindset and solid coding skills in Python, with focus on clean, readable and maintainable code.
  • To work effectively in our team, you should be familiar with  Pandas, NumPy,Power BI/Tableau and ideally NoSQL Databases.
  • Ground financial knowledge is a plus.
  • You identify as a self-starter with an entrepreneurial spirit, a curious, creative mind, and a profound understanding of (or deep interest in) quantitative analytics, and/or capital markets.
  • You are dedicated and familiarize yourself quickly and comprehensively with new topics while also being able to prioritize and achieve objectives. 

What We Offer

  • Flexible working schedule
  • Professional and experienced team
  • International environment and network
  • Central office in the heart of Frankfurt
  • Direct involvement in the entire trajectory of the firm
  • A steep learning curve
We hire for talent; hence you will be able to develop your role according to your personal goals and position yourself where you can make the biggest impact and contribution.

 

If you think you are a good fit for our team, send your application now!

Apply for this role

    Full Name *

    Email *

    Phone number

    .

    What are you interested to contribute to Exaloan? *

    Documents

    * Please submit CV/Resume and Cover letter in English

    Resume/CV *

    Cover letter *

    Other documents

    Linkedin URL

    Twitter URL

    Github URL

    Portfolio URL

    Other website

    Salary expectation

    Additional Information

    .

    .

    This website uses cookies to ensure you get the best experience on our website.

    This website uses cookies to ensure you get the best experience on our website.

    This website uses cookies to ensure you get the best experience on our website.