Data Scientist

Posted 2 Days Ago
Be an Early Applicant
Warsaw, Warszawa, Mazowieckie
1-3 Years Experience
Software
The Role
As a Data Scientist, you will evaluate business problems, source data, train or select models, and collaborate with engineers and developers to deploy solutions. You'll focus on scaling AI capabilities within the organization while enhancing productivity and decision-making through data products.
Summary Generated by Built In

Who we are

For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds.

SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.

Why this role is important to us

SimCorp is the world’s leading provider of integrated investment management solutions to international financial institutions. Our clients include 300+ of the world’s leading asset managers, fund managers, asset servicers, pension and insurance funds, wealth managers, central banks, and sovereign wealth funds.

The Customer & Commercial Insights team uses corporate data to build internally used data products for the entire company. We deliver, deploy, and maintain a plethora of vital data products such as dashboards, predictive models, web apps, and ad-hoc analyses that are used by all parts of the organization. This helps our colleagues to increase their productivity and thus our customers’ satisfaction, as well as to make better decisions that increase our revenue. Most importantly, we are involved in the entire life cycle of the data product and don’t hand over Proof of Concepts. We develop and deploy all our solutions inhouse, collaborating with several stakeholders within the organization.

We are a growing team that looks to scale its services across the organization, especially in the area of AI. For this, we are in search of a Data Scientist who can facilitate the scaling of our capabilities within the company. You will work with state-of-the-art cloud technology: no maintenance of legacy systems. We look for a bold and pragmatic problem solver with a high enterprising spirit. You will work in an agile and international team which delivers value to the business with much curiosity and fun.

What you will be responsible for:

  • Evaluate, in close collaboration with our business stakeholders, business problems and identify potential data and/or statistics-based solutions.

  • Work with our data engineers when sourcing the data, representing our internal stakeholders.

  • Given a wide selection of corporate data, you will either train supervised or unsupervised models yourself or you will identify and evaluate pretrained models for a given use case.

  • Act as a subject matter expert on predictive & generative modeling for the entire team.

  • Collaborate with our data engineers and full stack developers during the deployment of your solutions.

What we value (our requirements):

  • 2+ years of experience in data science, machine learning, or other quantitative field.

  • Great communicator with fluency in English and capable of explaining complex topics in an easy-to-understand manner.

  • Must have a very strong business/commercial acumen and a problem solver mentality.

  • Eager self-learner with up-to-date knowledge of industry best-practices.

  • Very good knowledge of linear modelling, tree based models, neural networks, and Python.

  • Good knowledge of linear algebra, scikit-learn, tensorflow / PyTorch, and generative AI (especially LLMs).Basic knowledge of MLflow.

  • Additional knowledge of this is beneficial: Apache Spark, Delta Lake, optimization, Power BI.

  • Experience/Knowledge in the investment management industry would be beneficial.

Next steps

Please send us your application in English via our career site as soon as possible, we process incoming applications continually. To make sure you receive our emails please check your junk/spam folder and add SimCorp to the safe list of your e-mail contacts.

Please note: Only applications sent through our system will be processed.

At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process.

If you would like to know more about the job, please contact Alina Wiejak, Senior Talent Acquisition Partner at [email protected]

#LI-Hybrid

Top Skills

Data Science
Machine Learning
The Company
HQ: Copenhagen
3,062 Employees
On-site Workplace
Year Founded: 1971

What We Do

SimCorp is a provider of industry-leading integrated investment management solutions for the global buy side.
Founded in 1971, with more than 3,000 employees across five continents, we are a truly global technology leader who empowers 40 of the world’s top 100 financial companies through our integrated platform, services, and partner ecosystem.
SimCorp is a subsidiary of Deutsche Boerse Group.
For more information, see www.simcorp.com.

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