Data Scientist @Oxford DataPlan

About Us

Oxford DataPlan is a collaboration of partners at Hedge Funds and PE/VC Funds with professors and lecturers at Oxford University. The company uses data science to create products that predict the operational performance of publicly traded companies.

About the role

Our Data Scientists are responsible for collecting, processing and analysing input data in order 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. Initially we would expect 20h/week+ but there is the possibility to convert to full time in the future

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 of 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 on a daily basis

• Automate scripts for data collection, processing and estimating new data points

• Produce visualisations of model outputs using Tableau, and embed these on a website

• Gain understanding of companies you are working on, by reading quarterly reports and other sources, and write 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, scitkit-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 visualisations 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 modelling/statistical skills, especially one or more of:

- Time series models

- Guassian 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 visualisations with Tableau

• Proficiency with Git

• Experience editing websites in WordPress

• Experience automating scripts and processes

• Good experience/knowledge of the finance sector

If you are interested, please email your CV and any samples of your work in python programming (in Github or otherwise) to info@oxford-dp.com

Remuneration:

Negotiable, on hourly rate basis

Closing date:

18-Mar-2024

Email: info@oxford-dp.com