Data Science Intern – Pey/Co-Op
Confirmed live in the last 24 hours

11-50 employees

AI analytics for institutional fixed income markets
Company Overview
Overbond stands out as a leading AI quantitative analytics provider in the institutional fixed income capital markets, offering a robust suite of AI algorithms for bond pricing, trade workflow automation, pre-trade signals, and market surveillance. The company's culture fosters continuous learning, with opportunities to stay updated on AI trading news through their monthly newsletter. Their competitive advantage lies in their data aggregation solutions, which provide comprehensive and accurate market insights, positioning them as industry leaders in their field.
AI & Machine Learning
Data & Analytics
Financial Services

Company Stage


Total Funding





Toronto, Canada

Growth & Insights

6 month growth


1 year growth


2 year growth

Experience Level
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
AI & Machine Learning
Data & Analytics
  • Currently completing Bachelors or Masters degree in relevant disciplines (Mathematics, Computer Science, Statistics or other quantitative related discipline)
  • Some experience in data mining, machine learning and statistical modeling
  • Solid knowledge in regression, time series analysis, tree methods, neural network, sampling
  • Proven track record of building and demonstrating business value from predictive models and data products
  • Highly proficient in building statistical and algorithmic models with complex and large data sets such as supervised statistical learning, times-series analysis, regression analysis, data visualization and deep learning
  • Capability to architect highly scalable distributed systems, using different open source tools
  • Coding experience in SQL or Python or R
  • Experience with AWS Kinesis, DynamoDB, Lambda, Redshift, Glue, Athena and Airflow
  • An entrepreneurial mindset, likes working in an agile environment, driven to ship frequently
  • Excellent communication and interpersonal skills
  • Team-oriented, pragmatic, self-starting
  • Likes to learn and grow with teammates in a highly collaborative and open environment
  • Understanding of, or interest in, finance and investments
  • Collect, analyze and visualize colossal datasets using a variety of emerging technologies to help solidify our understanding of users and improve product decision-making
  • Assist in design, build and maintain an expanding set of robust predictive models and applications to drive forecast accuracy
  • Contribute towards data science initiatives to recommend actionable business insights using big data analytics and machine learning techniques
  • Leverage distributed and open-source computing tools for recommendations, classification, regression, and feature extraction, from logistic regression to matrix factorization, to deep learning neural networks
  • Prepare detailed documentation to specify data sources, models and algorithms used and developed
  • Collaborate with the engineering team to deploy models and algorithms in production
  • Effectively communicate data insights in a non-technical manner to key stakeholders and senior management team