Data Scientist — Treasury Risk and Exposure

London

Full Time Senior-level / Expert USD 68K - 135K *

Data Scientist - Treasury Risk and Exposure

We’re looking for a Data Scientist to join our growing Treasury Team in London. This role is a unique opportunity to have an impact on Wise’s mission, grow as a Data Scientist and help save our customers money. 

Your mission: 

At Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money. 

Your mission is to help run the engine of the company, delivering funds to wherever in the world our customers need them, as fast as possible. Your  team is also entrusted with managing risk from currency rate fluctuations, allowing us to offer customers the real mid-market rate.

Here’s how you’ll be contributing:

  • You will build new and further develop existing machine learning models to help us manage our FX risk and currency exposure in even smarter ways. You will also deploy and run them to bring direct PnL impact. 
  • You will write code to simulate, backtest and develop new hedging strategies
  • In the course of your work, you will closely collaborate with a team of product managers, engineers, analysts, data scientists and operations specialists to further optimise and automate the Treasury product.
  • Your average day will include building new models, solving decision making problems, maintaining production models, evaluating new ideas, putting out fires etc.. (there are no average days)

A bit about you:

  • You have a solid knowledge of Python, and experience with development, maintenance and deployment of production-grade machine learning models
  • You have experience working with a range of machine learning model types, and know when and why to use gradient boosting, neural networks, good old regression, or a blend of these
  • You are data-driven with a structured and pedantic approach. You need to be able to independently prioritise the value you can add, and manage your time effectively
  • You see a bigger picture of business processes and can interview all the stakeholders and cut through vagueness to define precisely where and how a model would fit into our stack and what value it would add
  • You always seek optimal solutions but also understand the trade-off between quality and practicality
  • You are a good storyteller and are comfortable with visualising and communicating data to various audiences; you easily articulate and present your ideas.

Some extra skills that are great (but not essential): 

  • You are familiar with finance, trading or accounting terminology so that it’s easier for you to understand, evaluate and explain implications of product decisions in Treasury.

We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.

Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.

And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic.

#LI-GN1

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: Finance Machine Learning Python

Region: Europe
Country: United Kingdom
Job stats:  8  3  0
Category: Data Science Jobs
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