Data Scientist null

About the role

Our Data Scientists are responsible for collecting, processing, and analyzing input data to produce models to predict the operational performance of publicly traded companies. You will work closely with our Head of Data Science and the CEO. Applicants should have an interest in Finance and Data Science.

Offer

• Working directly with Hedge Fund partners and data scientists from the University of Oxford
• Autonomy to drive dedicated areas of responsibility and develop them further
• First-hand experience with the intersection of fundamental equity investing and data science
• Remote work with flexible working hours
• Competitive pay at a negotiable hourly rate

Responsibilities

• Write robust, commented scripts to collect data from the internet, clean it, save it to our database
• Analyse data, build, validate, and test prototype models in Jupyter
• Deploy models to predict company performance daily
• Automate scripts for data collection, processing, and estimating new data points
• Produce visualizations of model outputs using Tableau, and embed these on a website
• Gain an understanding of the companies you are working on, by reading quarterly reports and other sources, and writing short internal reports when a company publishes its earnings
• Maintain and update existing models, and help to identify and resolve bugs as quickly as possible
• Proactive in finding new sources of data and finding ways to improve existing models

Essential skills

• Proficiency in Python:
  • Ability to write functional, reproducible, and well-documented code
  • Familiarity with typical data scientist modules (pandas, numpy, matplotlib, sci-kit-learn)
  • Familiarity with how to access websites/APIs through Python (e.g. using the requests module)
• Statistical knowledge:
  • General understanding of statistical concepts (e.g. bias, variance, R-squared)
  • Good understanding of the theory and practice of linear regression
  • Understanding of how to train, validate, test, and deploy machine learning/statistical models
• Database knowledge:
  • Understands what SQL is, and how to make elementary queries to a database
  • High-level understanding of how relational databases work
• Experience creating visualizations in code, or using a BI tool (e.g. Tableau, Power BI)
• Experience with Git
• Interest in finance

Desirable skills

• Other coding languages (e.g. R, JavaScript)
• Advanced modeling/statistical skills, especially one or more of:
  • Time series models
  • Gaussian processes
  • Imputation of missing data
  • Anomaly detection
  • Bayesian statistics
• Web-scraping/crawling experience (especially with selenium)
• Proficiency in SQL (especially MySQL) and database management
• Experience working with AWS
• Experience creating visualizations with Tableau
• Proficiency with Git
• Experience editing websites in WordPress
• Experience automating scripts and processes
• Good experience/knowledge of the finance sector