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Lead Data Scientist for e-Trading Rates Data and Insights

København S, DK, 2300

Job ID: 10229 
 

Data Science, Machine Learning, Fixed Income, e-Trading, Markets
 

Would you like to help set the direction in our journey towards further automation and data driven decision making within Rates Trading and Sales? We are now looking for a Lead Data Scientist for e-Trading Rates Data and Insights to lead a team of data scientists and help shape the future and take lead on shaping and implementing the future of data driven insights and automation for pricing and risk management within the Rates franchise.

 

At Nordea, we see that the world is changing fast – and we want to be one step ahead of the curve. That’s why we’re deeply committed to providing the financial solutions of tomorrow to our customers. We’re creating an agile environment where we experiment and grow together – and we need your ideas and unique background. With us, you’ll be in good company with a chance to make your mark on something bigger.  

 

About this opportunity
 

Welcome to the e-Trading Rates Data and Insights team. We add value by developing data models and algorithms for quoting, risk management and execution. We provide insights to trading and sales about the profitability of our offering through the use of advanced data analysis methods, as a well as insights to our developers about the performance of the e-Trading platform. As the Team Lead for e-Trading Rates Data and Insights, you’ll play a valuable role in shaping the future of data strategy and automation for the Rates franchise.
 

What you’ll be doing:

  • Lead a team of passionate data scientists through coaching, empowerment and focus on personal and professional development.
  • Define new projects and set direction together with business stakeholders and other data scientists and analysts within Rates trading and sales.
  • Take lead on the development and implementation of new data and automation initiatives within Rates trading.
  • Working on complex time-series datasets, creating data and machine learning pipelines for clustering, classification and regression.
  • Take an active part in building out our data foundation and ensure data quality and integrity through efficient, stable and scalable solutions.

 

You’ll join a team of pro-active and committed colleagues, with a strong sense of ownership, seated on the largest trading floor in Scandinavia. The role is based in Copenhagen. 
 

Who you are
 

Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.   
 

To succeed in this role, we believe that you:

  • Lead by example and actively participate in defining, scoping and implementing new solutions.
  • Are inclusive, engaged and highly motivated by mentoring and coaching team members.
  • Are a dedicated team player who can communicate and collaborate with both developers and business stakeholders.
  • Are able to see the big picture, yet still have a keen eye for the detail.

 

Your experience and background:  

  • Proven track record of supporting and coaching team members ideally in a leadership position.
  • Experience within analyzing large data sets and applying both traditional statistical modelling and machine learning practices to provide insights.
  • Experience within development and implementation of quantitative or statistical models.
  • Preferably have knowledge of Rates trading (FI, Derivatives), but a keen interest, and ability, to learn fast is more important.
  • Professional coding skills in Python and strong experience with SQL.
  • Familiarity with tech stacks, like Git, Artifactory, Docker, etc. and experience exposing models via APIs is a plus, but not a requirement.
  • A Master's degree within the disciplines of Machine Learning, Software Engineering, Computer Science, Physics, Mathematics, Economics, Statistics, or any other relevant field.

 

If this sounds like you, get in touch!

 

Next steps

Submit your application no later than 14/08/2022. Please note that we proceed with potential candidates already during the application period. For more information, you’re welcome to contact Daniel Schiermer, phone +45 42 40 02 47 or email daniel.schiermer@nordea.com.

At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities. So please come as you are.

 

Please be aware that any applications or CVs coming through email or direct messages will not be accepted or considered. 

Department:  Investment banking / Institutional banking / Marke

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