AI Researcher

About Arabesque

We are a global group of financial technology companies offering sustainable investment, advisory, and data services through our advanced ESG and AI capabilities. Established in 2013, our story is one of partnership between leaders in finance, mathematics, AI, and sustainability working together to deliver a new approach to capital markets. We believe economic value creation can and should be combined with environmental stewardship, social inclusion, and sound governance. Through our companies, we leverage cutting-edge technology, research, and data to deliver sustainable, transparent financial solutions for a changing world. Arabesque has offices in London, Frankfurt, Boston, Tokyo, Delhi, and Singapore.

The Role

Our work covers a broad spectrum of science-based fields deploying approaches from Deep Learning, Feature Engineering, Supervised and Unsupervised Learning, Distributed Computing, Natural Language Processing, Frequentist & Bayesian Statistics, Probabilistic Modelling, Signal Processing, Portfolio Optimisation, Ensemble Methods, Network Analysis, Agent-Based Modelling and Swarm Intelligence. You will be part of our AI Research team, developing and implementing research that will contribute towards some element of our AI investment pipeline. Based off of the research you do at Arabesque AI you will aim to publish to conferences or journals.

Requirements

• PhD degree in Computer Science or related subject.
• Have a strong understanding/research experience in one or more of the following: Deep Learning, Feature Engineering, Supervised and Unsupervised Learning, Distributed Computing, Natural Language Processing, Frequentist & Bayesian Statistics, Probabilistic Modelling, Signal Processing, Portfolio Optimisation, Ensemble Methods.
• Strong Python experience.
• Experience in ML frameworks, e.g. PyTorch, Tensorflow.

Our nice-to-haves:

• Familiarity with one or more from the following tech stack: Docker, Kubernetes, Cloud Computing (Google, AWS, etc), Argo
• Writing clean, well-documented, and scalable code according to best practices
• Familiarity with object store and database systems (Postgres, ElasticSearch, BigQuery, DGraph, ...)
• Knowledge of finance and/or professional experience
• Experience with a compiled language (e.g. Go, C/C++, Java)

*Exceptional candidates pursuing or holding a Masters degree will also be considered

Benefits

• Competitive Base Salary
• 30 days holiday
• Training budget
• Entrepreneurial start up environment
• Opportunities to contribute to open-source, publish blogposts and actively participate in community activities