Senior Risk Data Engineer/ Risk Data Scientist
Location: Toronto, Canada (Onsite)
Job Type: Contract 12+ Months (C2C/T4)
Job Description
Experience working on projects (Agile methodologies) related to pricing/risk and Market and Credit/Counterparty data for Risk engines.
- Relevant Risk experience: Modeling of different product types including Bonds, Equity, FX etc. for Market and Counterparty Credit Risk exposures.
- Understanding of financial Instruments including several types - Rates Derivatives, Credit Derivatives, Equity Derivatives FX Options & FX Cash, and their valuation; Exposure to Banking Loan Book and other products.
- Knowledge of market and counterparty risk management is useful.
- 10+ years previous work experience as a Business or Data Analyst, or in a technical/functional Role
- Documentation skills – ability to succinctly articulate requirements, summarize data analysis and present to business users and development team
- Use of Python, Anaconda, Pandas, Jupyter, Linux, Hadoop, Hive, Spark and other big data technologies
- Strong data analysis skills are required including analysing large data sets in using SQL queries and other modelling tools
- Producing and using Data Catalogues, understanding data models and business process modeling
- Experience building enterprise scale applications involving large data volumes and computations
- Bachelor’s degree in Sciences, Information Technology, Computer Science or other quantitative discipline ""
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