About the job

A Financial Data Analyst leverages and manages data that is consumed by the world’s most elite financial institutions by applying structured thinking and leveraging technology. The scope ranges across the full data lifecycle, from acquisition, normalization, consolidation, validation, remediation, preparation and distribution of data about instruments, legal entities, corporate actions, prices, quantitative data structures (curves, volatility surfaces, correlation matrixes, etc.) and common reference data such as calendars, countries, etc.

Who will love this job

• A proud advocate – you enjoy scrubbing and automating compelling data that engages all parts of the business. You are the voice of our customers.
• A teacher and learner – you like investigating and troubleshooting data related issues across all dimensions of data quality
• A helper – you relish acting as the front-line support resource, handling client requests related to TS Imagine's data offering
• A trusted subject matter specialist – you own contributing to the constant evolution of our data management maturity and data management capabilities in metadata management, data quality management and data governance
• An excellent teammate – you appreciate the daily operations of a global, highly distributed team that delivers mission critical data services

What you’ll do

• Manage data about financial products, corporate actions, prices, legal entities, valuation data structures and common reference data that is consumed by 500+ clients of TS Imagine around the world
• Ensure and enhance the integrity of our mission-critical data offering
• Learn finance from the data up
• Make and implement recommendations to prevent reoccurring issues and automate manual processes

You should have

• Knowledge about trading, portfolio management, risk management or margin management
• A Master’s degree in a quantitative field such as financial engineering, physics or mathematics from a reputable university is preferable
• Familiarity with the terms and conditions of instruments in fixed income, commodities, FX, crypto, equity and their derivatives
• Knowledge of financial instrument data vendors, such as Bloomberg, Refinitiv, ICE or FactSet
• Relevant financial internship experience
• Basic knowledge about SQL, Python and JavaScript is a plus
• Knowledge about financial models to compute value at risk, sensitivities or profit and loss is a plus

Why TS Imagine / Benefits

• Hybrid work (4 days in the office)
• Vacation and Personal days
• Annual bonus and salary review
• Training budget $1,500
• RRSP with 3% company matching
• Health insurance
• Subvention for public transportation