Everyone at OANDA is focused on our vision to transform how our customers can meet all their currency needs. We are revolutionising the world of currency trading by providing innovative trading experiences, currency data and analytics solutions. Dare to be open, bold, focused - own it and apply! The future is now!
Join us and:
Become a member of a quant team that builds and prototypes complex financial models responsible for managing trade positions and risk management from a market maker perspective,
Have an ownership in managing the entire model prototyping, development and deployment lifecycle,
Assist in the development of exploratory data analysis and visualisation tools, operating over a wide range of structured and unstructured data.
How do we work?
We’re looking for a Senior Quantitative Analyst with experience in Machine Learning and coding in Python. In this role you will design and build models and data pipelines which operate over extremely large datasets, combining traditional analytics and state of the art machine learning.
We are always prototyping new technologies! Check the requirements and join us :)
In a Quantitative Research team you will have the opportunity to work on:
Advanced machine learning, statistical and analytical models
Engineering, automating and optimizing large scale compute pipelines, allowing for the analysis and
training of models over huge datasets,Developing and maintaining financial analytics libraries,
Prototyping, building and deploying on on-prem and cloud-based research infrastructure,
Exploring and creating new data analysis and visualisations, preparing dashboards and other ways to
deliver research insights.
What skillset you need, to be successful in this role:
Minimum 4+ year of demonstrated experience in Machine Learning and developing and maintaining projects written in Python, including libraries such as numpy, pandas, scikit-learn, xgboost, matplotlib, etc.
Practical understanding of databases and SQL.
Unix platform experience.
Thirst for knowledge, hunger to learn, and willingness to take on new challenges.
Nice to have:
Advanced university degree in computer science, engineering, physics, mathematics, finance or a related field.
Knowledge of Google Cloud Platform.
An eye for graphical design and the visual display of quantitative information.
Professional experience in finance markets.
OANDA Global Corporation is a diverse and global team with offices around the world. We value the unique skills and experiences each individual brings to OANDA. We are committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide an inclusive and accessible environment for everyone. Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to provide as seamless a recruitment experience as possible.
Learn more about our culture here.
Review OANDA Privacy Policy and learn more about how we treat your personal data and protect your privacy.
Top Skills
What We Do
Everyone at OANDA is focused on our vision to transform how our customers can meet all their currency needs.
From our roots in 1996 that provided free currency exchange information to launching a multi-award winning global FX and CFD trading business to our recent new venture of money transfer. OANDA is now a major global player.
Innovation has been at the heart of everything we do and our approach is to pioneer intuitive, user-friendly products supported by our great customer service ethos.
We’ve come a long way since our first data feed went live in 1996, and we still have so much more that we want to achieve.
Substantial funding has facilitated our exceptional growth. In 2007 we received $100M USD in Series B funding and in 2018 were acquired by CVC Capital Partners Asia Fund IV.
For more information, please visit oanda.com. You can follow us on Twitter, Facebook, or YouTube.
Leveraged trading is high risk and may not be suitable for everyone as your losses may exceed your investment.







