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Senior Risk Data Engineer / Risk Management Data Analyst - Toronto, ON

Lorven Technologies
Toronto, Ontario, Canada
$42 an hour (estimated)
Full-time

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) BioTech ? 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)
  • 30+ days ago
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