
Lead BSA – Data Solutions – Climate Data Strategy
- Halifax, NS
- Permanent
- Temps-plein
- Lead all business and systems analysis activities for the Climate Data project portfolio of work.
- Develop detailed understanding of current state including data feeds required for Climate Risk Data Stores and Climate Data Hub. Data sources can include a range of (PCAF) Asset Classes – Residential Real Estate, Commercial Real Estate, Sovereign Debt, Project Finance, Listed Equity and Corporate Bonds, Business Loans and unlisted Equities.
- Map and provide rules for the transformation of data from multiple sources into standardized data feeds required for the Climate Risk engines.
- Work closely with business users to understand and elicit business requirements and demo system functionality.
- Prepare high level and detailed requirements and functional specifications, and support developers on projects.
- Efficiently perform business analysis tasks including documentation of requirements, data analysis and support UAT testing.
- Work closely with development team, explain the requirements, validate the design assumptions for various business scenarios and testing.
- Support QA/Business team in creation of UAT test cases against business requirements.
- Experience working on Risk Data projects (Agile methodologies), sourcing, standardization, and aggregation of risk in one of the functional risk areas such as Counterparty/Credit Risk. Skills acquired in a market and/or counterparty risk management environment are transferable.
- 10+ years previous work experience as a Business or Data Analyst, or in a technical/functional Role in software development.
- Superior experience in the use of Python, Pyspark, SQL technologies to perform complex data analysis and support developers working with a technology stack including Linux, Hadoop, Hive, Spark.
- Expert proficiency in producing and using data catalogues, data modeling and business process modeling.
- Communication and documentation skills – ability to succinctly write requirements, summarize data analysis and present to business users and development team. Experience building enterprise scale applications involving large data volumes and computations.
- Bachelor’s degree in Engineering, Sciences, Information Technology, Computer Science or other quantitative discipline.
- Good understanding of Climate Data Initiatives, Environmental, Social and Governance investment policies & frameworks for financial institutions.
- Understanding of financial Instruments including several types of Fixed Income and Equity Instruments and their valuation; Exposure to Banking Loan Book and other products.
- Opportunities to build distributed systems using the latest big data frameworks for advanced analytics
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities