Capital Markets • Fixed Income • Debt Capital Markets • FinTech • AI
11 - 50
💰 Venture Round on 2022-08
August 24, 2023
Capital Markets • Fixed Income • Debt Capital Markets • FinTech • AI
11 - 50
💰 Venture Round on 2022-08
• 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
• 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 AWS Kinesis, DynamoDB, Lambda, Redshift, Glue, Athena and Airflow • 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
• 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.
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