About Us
Overbond is a developer of artificial intelligence (AI)-driven real-time data streams for bond trading automation. Overbond offers the most advanced bond trading data streams and execution management system (EMS) in the market. The Overbond data streams and analytics can be integrated into the systems and workflow of any and every fixed income trading desk in the world.
Overbond helps fixed income trading desks overcome the lack of a complete and centralized pricing and transaction data source for the bond markets, execute more client trades, increase the profitably of the trades that are executed, conduct pre-trade and post-trade analyses, monitor prices and risk and prepare reports.
The company serves trading desks in the Americas, Europe and Asia. Overbond is headquartered in Toronto and operates a lab in Montreal that engages academics and post-graduate researchers to conduct advanced research and development in quantitative finance and AI modelling.
The Opportunity
This exciting new role is available as part of the Overbond product team expansion. The position is a unique opportunity to build creative solutions for complex problems using cutting edge technology. As an expert in data science, you will be in charge of the architecture, integration and analysis of large data sets used for developing machine learning models and generating business insights. We are seeking experienced data scientists who are excited about utilizing latest statistical, machine learning, and predictive analytics techniques to transform unstructured data to creative solutions that will have direct impact on the business of our clients.
What You'll Do
- 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 frequentlyCollect, 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
What You'll Need
- Bachelors or Masters degree in relevant disciplines (Mathematics, Computer Science, Statistics or other quantitative related discipline)
- 1 - 2 years of 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 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
- 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
What We Offer
- Opportunity to work on a real product with very demanding paying enterprise clients
- Learning and self-development opportunities through online courses and knowledge sharing lecture sessions.
- Extended health coverage (Dental, Vision, Drug plan and other medical services)
- Life Insurance and AD&D coverage
- Paid vacation days, sick days, personal/ emergency days and extended long weekends.
- Monthly team lunches and social events (hosted virtually in light of Covid restrictions)
Successful candidate(s) will have a truly exciting opportunity to be part of the industry leading financial technology company changing the way how global investment banks, institutional investors, corporations and governments access the capital markets. The candidate will work with top notch industry professionals and will be given ample amount of opportunities to learn and contribute.
Overbond is committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We welcome applications from: women, Aboriginal persons, persons with disabilities, ethnic minorities, visible minorities, people who identify as LGBT and others who may contribute to diversification in our workplace.
As part of our commitment to accessibility for all persons with disabilities, Overbond will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities.