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Added 20 mins ago
Software Developer – CRM – Senior - RQ10953
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Full-time
Client: Ministry of Public and Business Service Delivery and Procurement - RQ10953
Added 20 mins ago
Software Developer – CRM – Senior - RQ10953
S M Software Solutions Inc
Toronto, ON
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Client: Ministry of Public and Business Service Delivery and Procurement - RQ10953
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Added 20 mins ago
Finance & Risk Solutions Business Analyst
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Full-time
Minimum 5 years of experience as a Business/Data Analyst in the field of accounting or financial systems implementation in the financial services industry.
Added 20 mins ago
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BNP Paribas

Finance & Risk Solutions Business Analyst

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 22, 2026
Experience: Minimum 5 years of experience as a Business/Data Analyst in the field of accounting or financial systems implementation in the financial services industry.
Posting language: English
Posted: Sep 22, 2026

Apply About employer

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Original job description

In a changing world, unprecedented challenges require unmatched talent. Join one of Montreal’s Top Employers in 2025. We are a dynamic and growing organization having its main establishment located in downtown Montreal and part of a leading international banking institution fully committed to building a more sustainable future. Note that the position may be in the Canadian Branch of BNP Paribas or in one of its subsidiaries based in Montreal.

The position at a glance

Shared Data Ecosystem team is located in Montreal, New Jersey, Chennai and Mumbai and at times, candidate will also be required to interact with other teams in Europe (Paris, Lisbon and Madrid).
Mission of the team is to build and maintain the data-centric tools that enable Finance, Risk, and Liquidity users to produce accurate local regulatory reports.
Communication and interaction between team members is key. It will be important for the candidate to demonstrate strong organization skills and capacity to plan, prioritize, and deliver work across multiple time zones.
Candidate should have strong quantitative mindset and should be capable of turning complex business rules into logical data structures.

In detail

The team members are responsible for the following activities:

Elicit and document business requirements from Finance, Risk, Liquidity and IT partners and turn them into clear functional specifications and source‑to‑target mappings by leveraging generative AI tools.
Facilitate workshops and stakeholder meetings, keep all parties informed of status, risks, and decisions, and act as the point of contact for user queries.
Produce and maintain comprehensive documentation to ensure traceability and audit readiness
Partner with development and downstream applications to ensure end-to-end delivery of regulatory reporting capabilities
Analyze existing data flows, system logic, and reporting outputs to identify gaps and propose enhancements.
Perform deep dive data analysis and profiling, trace data lineage, validate report outputs, and assess data quality, completeness and transformation rules.
Create and execute testing plans (SIT and UAT). Write test cases, define expected results, log defects, track resolution and obtain sign off for the production releases.
Automate test‑case generation by feeding functional requirements into AI‑driven testing platforms that produce SIT/UAT scenarios, expected results and synthetic test data
Leverage SQL to analyze datasets, build prototypes, validate data flows, and support UAT
Partner with development teams to support implementation and enhancement of data model and data flows
Act as a subject matter expert during internal and external audits by providing documentation, explaining data sources and logic, and addressing queries related to processes
Stay current with emerging AI technologies and governance best practices, and proactively advise the team on how to adopt them safely within the environment

The Strengths And Skills That Will Help You Succeed

Bachelor’s degree or relevant master’s degree in business, accounting or information technology (or international equivalent).
Minimum 5 years of experience as a Business/Data Analyst in the field of accounting or financial systems implementation in the financial services industry.
Professional working proficiency in English language is required. *
Hands-on experience with complex data analysis, SQL queries, and regulatory reporting datasets.
Experience with data modeling concepts (e.g., ERDs, dimensional models, normalized vs. denormalized structures).
Strong working knowledge of relational databases, data warehousing concepts, and ETL workflows.
Ability to develop, adapt to a process, manage projects by effectively prioritizing workload with support from team managers.
Strong analytical, documentation, and communication skills; ability to simplify and present complex data issues to non-technical stakeholders.
Ability to work autonomously, be able to focus on an end-to-end design, and implementation approach.
Familiarity with generative‑AI tools (e.g., Azure OpenAI, ChatGPT, Claude, Gemini) for drafting specifications, generating SQL snippets, or producing documentation.
Proactive attitude towards staying current with emerging data‑engineering, analytics and AI technologies and applying them responsibly within a highly regulated environment.
*Given the vast majority of our clients, both internal and external, are based outside of Quebec and Canada, specific language requirements may apply. Professional working proficiency in English language is required.

What You Need To Know

We will review candidates as they apply, so don’t wait to submit your application.
BNP Paribas is committed to accessibility and inclusion. During the recruitment process, accommodation needs are available at all times for candidates. You will have the chance to make a request for an accommodation during your application.
You must be legally eligible to work in the Greater Montreal area and, if applicable, hold a valid work or study permit. Physical presence in BNP Paribas’ office(s) is an essential function of this position.
If you are applying and accepted to a position which requires working in/for the U.S. securities industry, you will be required to provide your fingerprints and undergo additional background checks by the FBI. BNP Paribas Securities Corporation is required to maintain a supervisory program over the conduct of its Associated Persons; some of your personal data will be transmitted to the United States of America and made available to US regulators. Please reach out to BNPP for additional information; or you can also find an overview here: 3110. Supervision FINRA.org

Diversity, Equity and Inclusion (DE&I) at the heart of our commitments

At BNP Paribas all employees are on an equal footing allowing us to create a work environment that values and respects people for their talents, skills and competences.

BNP Paribas recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, and other protected status (Employment Equity Act and Canadian Human Right Act).

To learn more about our DE&I commitments, click here

About Us

BNP Paribas is the top bank in the European Union and a major international banking establishment. Present in 63 countries, with more than 180,000 employees, the bank holds key positions in several areas of banking and financial services.

BNP Paribas’ mission is to contribute to a responsible and sustainable economy by financing and advising its clients according to the highest ethical standards, while striving to respond to essential concerns in terms of the environment, regional development and social inclusion.

Since 1961, BNP Paribas has supported large Canadian companies and institutions in their business development by offering a full range of specialized financial services and investment products.

With over 1,400 employees, BNP Paribas in Canada continues to attract experts from diverse fields as well as ambitious young talent from around the world. We are proud to offer our employees a rewarding and international workplace where they can build their professional careers by honing their skills, meeting challenges and enriching their knowledge of the financial industry.

Our certifications and partnerships

Montreal’s Top Employers 2025
Canada’s Best Diversity Employers 2025
Women in Governance – Parity certified – Platinum certification
Pride at Work Canada
Part of Les Affaires top 300 companies in Quebec
Synclusiv
Ready, Willing and Able
Autisme sans Limites
LinkedIn Top Companies 2024

Do you want to discover other BNP Paribas offers in Canada?

Click here: BNP Paribas in Canada Our job offers

*** While the description above describes our ideal candidate, we encourage applicants to apply even if they do not fully meet the complete list of qualifications noted***

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More about this job

Responsibilities

The analyst will elicit business requirements to build data-centric tools for Finance, Risk, and Liquidity reporting while ensuring audit readiness and data quality. They will also partner with development teams to implement data models and automate testing scenarios using generative AI tools.

Requirements

Candidates must hold a bachelor's or master's degree in business, accounting, or IT and possess at least 5 years of experience in financial systems implementation. Proficiency in SQL, data modeling, and regulatory reporting datasets is required, along with the ability to work on-site in Montreal.

Skills

Business analysis
Data analysis
SQL
Regulatory reporting
Data modeling
ETL workflows
Generative AI
Financial systems
Accounting
Data lineage
Functional specifications
Stakeholder management
Testing plans
Project management
Data quality
Audit readiness

Benefits

Professional development
Inclusive work environment
Diversity and inclusion programs
Accessibility accommodations

Visa sponsorship

Not detected in the job text

Keywords

Business Analyst
Data Analyst
Finance
Risk
Liquidity
Regulatory Reporting
SQL
Data Modeling
ETL
Generative AI
Azure OpenAI
ChatGPT
Claude
Gemini
Data Lineage
SIT
UAT
Audit
Banking
Financial Services
Data Warehousing
Functional Specifications
Business Rules
Data Profiling
Process Improvement
Stakeholder Management
Accounting Systems
Data Engineering
Compliance
Governance

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