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Business Analyst

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Virtusa

27d ago

  • Job
    Full-time
    Senior Level
  • Data
    Business, Operations & Strategy
  • Toronto

AI generated summary

  • You must have strong SQL skills, experience with data modeling, ETL, analytics dashboards, and IFRS9 specifications, plus ability to define rules for credit risk models and perform data analysis.
  • You will design data models, perform SQL analysis, define credit risk requirements, create dashboards, and ensure proper UAT while collaborating with technology partners for ETL implementations.

Requirements

  • technology partners to design data model, staging areas, ETL and transformation implementation
  • Good SQL knowledge and having worked on latest concepts of analytical functions
  • Define centralized control reference data to be applied consistently across all credit risk models
  • Define rules and requirement for developing a time-series and panel view of data to build statistical models for credit risk
  • Define requirement and analysis for creating analytics dashboard and data visualization
  • Business Requirements Documents, detailing the credit IFRS9 specifications, including data and systems requirements
  • Providing analysis to support the development of the policy aimed at allocating exposures to the correct impairment treatment
  • Providing analysis to support the development of the process to apply forward-looking macroeconomic adjustments to the provision models
  • Define Business Requirement Document and business rules to on-board and develop transformation rules in strategic platform
  • Perform extensive data analysis to get insights of data and liaise with technology partners to design data model, staging areas, ETL and transformation implementation
  • Good SQL knowledge and having worked on latest concepts of analytical functions
  • Define centralized control reference data to be applied consistently across all credit risk models
  • Define rules and requirement for developing a time-series and panel view of data to build statistical models for credit risk
  • Define requirement and analysis for creating analytics dashboard and data visualization
  • Build wireframes and mock screens to develop user interface tool for data manipulations and workflow management
  • Perform UAT and post production testing
  • Writing Business Requirements Documents, detailing the credit IFRS9 specifications, including data and systems requirements
  • Providing analysis to support the development of the policy aimed at allocating exposures to the correct impairment treatment

Responsibilities

  • technology partners to design data model, staging areas, ETL and transformation implementation
  • Good SQL knowledge and having worked on latest concepts of analytical functions
  • Define centralized control reference data to be applied consistently across all credit risk models
  • Define rules and requirement for developing a time-series and panel view of data to build statistical models for credit risk
  • Define requirement and analysis for creating analytics dashboard and data visualization
  • Business Requirements Documents, detailing the credit IFRS9 specifications, including data and systems requirements
  • Providing analysis to support the development of the policy aimed at allocating exposures to the correct impairment treatment
  • Providing analysis to support the development of the process to apply forward-looking macroeconomic adjustments to the provision models
  • Define Business Requirement Document and business rules to on-board and develop transformation rules in strategic platform
  • Perform extensive data analysis to get insights of data and liaise with technology partners to design data model, staging areas, ETL and transformation implementation
  • Build wireframes and mock screens to develop user interface tool for data manipulations and workflow management
  • Perform UAT and post production testing
  • Writing Business Requirements Documents, detailing the credit IFRS9 specifications, including data and systems requirements
  • Providing analysis to support the development of the policy aimed at allocating exposures to the correct impairment treatment

FAQs

What are the primary skills required for the Business Analyst position?

The primary skills required include good SQL knowledge, experience with analytical functions, and the ability to define data models, staging areas, ETL, and transformation implementation.

Is knowledge of credit risk models necessary for this role?

Yes, knowledge of credit risk models, including IFRS9 specifications, is essential for developing and analyzing relevant business requirements.

What types of tools will the Business Analyst be required to use?

The Business Analyst will be required to use data analysis tools for insights, as well as design tools for creating wireframes and mock screens for user interface development.

Will the Business Analyst be involved in user testing?

Yes, the Business Analyst will perform UAT (User Acceptance Testing) and post-production testing as part of their responsibilities.

What is expected in the Business Requirements Documents?

The Business Requirements Documents should detail the credit IFRS9 specifications, including data and systems requirements related to credit risk models.

Are analytical dashboards and data visualization part of the job responsibilities?

Yes, the role includes defining requirements and analysis for creating analytical dashboards and data visualizations.

Will the Business Analyst collaborate with technology partners?

Yes, the Business Analyst will liaise with technology partners to design data models, staging areas, ETL, and transformation implementation.

Is experience with time-series data important for this role?

Yes, defining rules and requirements for developing a time-series and panel view of data to build statistical models for credit risk is an important aspect of the role.

What type of analysis will the Business Analyst provide regarding impairment treatment?

The Business Analyst will provide analysis to support the development of policies aimed at allocating exposures to the correct impairment treatment.

How crucial is extensive data analysis in this position?

Extensive data analysis is crucial for gaining insights into data, which aids in the design of data models and informs other business processes.

Business transformation that lasts starts with Engineering First.

Technology
Industry
10,001+
Employees
1996
Founded Year

Mission & Purpose

Virtusa Corporation provides digital engineering and technology services to Forbes Global 2000 companies worldwide. Our Engineering First approach ensures we can execute all ideas and creatively solve pressing business challenges. With industry expertise and empowered agile teams, we prioritize execution early in the process for impactful results. We combine logic, creativity and curiosity to build, solve, and create. Every day, we help clients engage with new technology paradigms, creatively building solutions that solve their most pressing business challenges and move them to the forefront of their industry.