Data Scientist — Treasury Operations
London
Wise
160+ countries, 40 currencies, one account. Save when you send, spend and manage your money internationally.Data Scientist - Treasury Operations
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 TransferWise’s mission, grow as a Data Scientist and help save millions more people money.
Your mission:
TransferWise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. 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 help automating treasury operational decisions, dig in piles of data to find golden insights and create production grade models that can be clearly monitored by our operations team
- You will help us optimally manage liquidity across time and space, and mitigate FX risk in the smartest way, build operational tools and develop strategies
- 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)
This role will give you the opportunity to:
- Have a direct impact - You will get behind the scene of company transactions, understand where we need to send money and what is the best way to do it so our customers get the fast and fair service they deserve. What you build will have an impact on millions of customers.
- Work autonomously - we believe people are most empowered when they can act autonomously. So rather than telling you what to do, you’ll work with your team to create a vision of your own. Of course, you can always gather feedback from smart, curious people across TransferWise but you’ll have the freedom to make your own calls
- Be part of a diverse team - You will work in a team of Data scientists, product managers, engineers and operations across 4 Transferwise offices, a lot of video-calls and some travel is expected
- Be part of our mission to make money without borders the new normal
About you:
- You are data-driven with a structural and pedantic approach. You need to be able to 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 have a postgraduate degree in Operations Research, Industrial Engineering, a related field, or equivalent practical experience
- You are comfortable with formulating stochastic decision making problems into tractable forms
- You always seek optimal solutions but also understand the trade-off between quality and practicality
- You have demonstrated knowledge in solving decision making problems using off-the-shelf optimisers (eg. Gurobi) or building your own solution if necessary
- You are familiar 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 have a good understanding of statistics, in particular Bayesian reasoning, and can estimate how accurate your results are, but also know when to stop analysing and deliver results
- You have a solid knowledge of Python, and are able to make and justify design decisions in your Python code; you can throw together a REST service or a UI if need be
- You are comfortable with visualising and communicating data to various audiences, you easily articulate and present your ideas
Some extra skills that would be great:
- You understand fundamental Big Data technologies such as Kafka and Docker, and don’t think twice about bringing up a new engine in docker-compose to have a play
- You are experienced in building machine learning models both on daily time series and on big data (100Ms of rows), using the right tools depending on the data volumes (our team uses Python, SQL, Clickhouse and sometimes Kafka and Flink for shoveling data, but we’re open to others ).
- 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
Tags: Banking Bayesian Big Data Docker Engineering Finance Flink Industrial Kafka Machine Learning ML models Python Research SQL Statistics
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs