Data Scientist Manager/Director



11-50 employees

AI analytics for institutional fixed income markets

Data & Analytics
AI & Machine Learning
Financial Services


Toronto, ON, Canada

Required Skills
Data Science
Data Structures & Algorithms
Data Analysis
Google Cloud Platform
  • Masters degree or PhD in relevant disciplines (Mathematics, Computer Science, Statistics or other quantitative related discipline)
  • 7 - 10 years of experience in data mining, machine learning and statistical modelling
  • 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 GCP cloud architecture, functions logic and development: Big Query, PubSub, Dataflow, Kubernetes Engine, Cloud Storage, Time series data and streaming APIs
  • Familiarity with Overbond product suite: Bond Trading Automation, Liquidity Scoring, Bond real-time pricing, Fixed Income ETF basket pricing, Transaction Cost Analysis (TCA), Margin Optimization and Issuance Propensity models
  • An entrepreneurial mindset, likes working in an agile environment, driven to ship frequently
  • Understanding of, or interest in, finance and investments
  • Collect, analyze and visualize big 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
  • 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

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.

Company Stage


Total Funding



Toronto, Canada



Growth & Insights

6 month growth


1 year growth


2 year growth