Overbond is hiring a

Post-Doctoral (Artificial Intelligence in Finance)

Montréal, Canada
Full-Time
About Us

We’re a leading financial technology company in the institutional debt capital markets - the largest capital market globally and the lifeline of finance world - that is laser focused on transforming how global investment banks, institutional investors, corporations and governments can better assess market risks through AI analytics, price discover and obtain real-time market signals. Our team consists of individuals with deep expertise, from both a technical and industry perspective, that are truly motivated by the fact that we are making a significant impact on how global capital markets obtain analytics. We value sharp minds, integrity, high performance, collaboration, and purpose. Our mindset is to innovate and challenge convention. At Overbond, we believe that change is the only constant and that problems are opportunities in disguise.

The Opportunity

This exciting new role is available as part of the Overbond R&D Labs in Montreal. The position is a unique opportunity to build creative solutions for complex problems using cutting edge technology and AI research. 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

  • Collect, analyze and visualize colossal datasets using a variety of emerging technologies to help solidify our understanding of users and improve product and research decision-making
  • Design, build and maintain an expanding set of robust predictive models and applications to drive forecast accuracy
  • Lead 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

  • PhD in relevant disciplines (Mathematics, Computer Science, Statistics, Electrical/Software Engineering)
  • 1-5 years of industry experience in data mining, machine learning and statistical modeling
  • Solid understanding of the underlying statistical theory and predictive modeling lifecycle
  • 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
  • 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

  • The challenge and opportunity of joining an exciting startup company
  • Opportunity to work on a real R&D scope of work and product
  • Lots of opportunity for learning and self-development
  • Ability to contribute in all stages of R&D work and influence product development

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 AI analytics. The candidate will work with top notch industry professionals and will be given ample amount of opportunities to learn and contribute.

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