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Data Science Intern - PEY/Co-Op

extra parental leave

Remote:

Full Remote

Contract:

Internships

Experience:

Entry-level / graduate

Work from:

Canada

Offer summary

Qualifications:

Currently pursuing Bachelor's or Master's degree in Mathematics, Computer Science or related discipline., Experience in data mining, machine learning, and statistical modeling., Coding skills in SQL, Python, or R., Knowledge of AWS tools and distributed systems..

Key responsabilities:

Collect, analyze and visualize datasets.
Assist in building and maintaining predictive models.
Recommend actionable business insights using analytics.
Collaborate with the engineering team for deployment.

Overbond Fintech: Finance + Technology Startup https://www.overbond.com/

11 - 50 Employees

See more Overbond offers

Job description

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. We are seeking interns passionate about data science 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 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

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

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.