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

Lorven Technologies; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading technology firm in Toronto is seeking a Senior Risk Data Engineer. You will lead projects focused on climate and ESG risk data in the banking sector. The ideal candidate has over 10 years of experience, strong skills in Python and SQL, and knowledge of market risk management. This position offers an opportunity to impact risk data strategies within the financial industry.

Qualifications

• 10+ years of previous work experience as a Business or Data Analyst.
• Strong data analysis skills with large data sets using SQL queries.
• Documentation skills to articulate requirements and summarize data.

Responsibilities

• Lead UAT and BA activities in programs.
• Work on ESG and Climate risk projects in the Banking sector.
• Produce and use Data Catalogues and understand data models.

Skills

Pandas

Python

Data analysis

SQL

Agile methodologies

Climate risk knowledge

Education

Bachelor’s degree in Science, Information Technology, or Computer Science

Tools

Anaconda

Jupyter

Linux

Hadoop

Hive

Spark

Job description

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)