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Senior Risk Data Engineer​/Risk Management Data Analyst

Job in Toronto, Ontario, M5A, Canada
Listing for: Lorven Technologies
Full Time position
Listed on 2026-01-02
Job specializations:
  • Finance & Banking
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
Position: Senior Risk Data Engineer / Risk Management Data Analyst ON

Job Title :
Senior Risk Data Engineer / Risk Management Data Analyst

Location :
Toronto, ON - Canada

Responsibilities:

  • Know pandas and Python ( Important & Mandatory)
  • Strong technical skills (working with SQL, data handling, data mapping)
  • Should have worked on ESG and Climate risk projects in the Banking sector, especially on data and technical portions
  • Experience writing technical specifications
  • Leading UAT and BA activities in a program
  • Experience in Greenhouse gas ( physics or chemistry) Bio Tech --? Science Skill (academic qualification which is highly desired but not mandatory)
  • Must have

    • 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 Books and other products

    • Knowledge of market and counterparty risk management is useful

    • 10+ years of previous work experience as a Business or Data Analyst, or in a technical/functional Role

    • Documentation skills – the ability to succinctly articulate requirements, summarize data analysis, and present to business users and the development team

    • Use of Python, Anaconda, Pandas, Jupyter, Linux, Hadoop, Hive, Spark, and other big data technologies

    • Strong data analysis skills are required including analyzing large data sets in using SQL queries and other modeling 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 Science, Information Technology, Computer Science or other quantitative discipline

    Nice to Have

    • Good understanding of Climate Risk Initiatives, Environmental, Social, and Governance investment policies & framework for financial institutions

    • Professional risk/finance certifications (. FRM, PRM, CFA)

    Position Requirements
    10+ Years work experience
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