Bounteous Logo

Bounteous

Regulatory Reporting Developer

Posted 4 Days Ago
Be an Early Applicant
Hybrid
Montréal, QC, CAN
Junior
Hybrid
Montréal, QC, CAN
Junior
The Regulatory Reporting Developer will develop applications for regulatory reporting using Java, Python, and Scala/Spark, manage data integration, and build Power BI dashboards, ensuring compliance and optimizing business logic.
The summary above was generated by AI
Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.

The team develops applications that support Regulatory Reporting groups in filing critical disclosures to regulatory bodies across the globe, utilizing highly flexible and scalable Java services, large-scale computational processing, warehouse reporting, and the Axiom regulatory reporting tool.
As a member of this agile development team, you will participate in all stages of the software development lifecycle — from requirements gathering through post-release and ongoing L3 support — working front-to-back on applications across Java, Python, SQL, and more. You will be expected to drive standardization and architecture discussions, contribute to automated testing and shared libraries, and deliver high-quality implementations aligned with development best practices.
The ideal candidate brings strong technical and problem-solving skills, an openness to learning new technologies and business domains, and ideally some familiarity with Regulatory, Accounting, Finance, or Control Functions. This role involves close collaboration with local and global project managers, colleagues, and internal clients within Finance.

Information Security Responsibilities

  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Responsibilities:

    - Consolidate data sourcing, integration, and verification across Control Functions to ensure consistent, controlled, and auditable outputs.  
    - Onboard and configure Axiom solution templates for regulatory reports (e.g., 14A DFAST, SEC FOCUS , Brazil DLO, SPED ), including mapping, validation, and deployment support.  
    - Analyze platform hygiene and DevOps gaps and define a prioritized remediation plan (standards, CI/CD, monitoring, environment controls).  
    - Implement and optimize business logic and data transformations using Scala/Spark (with testing and performance considerations).  
    - Build and maintain Power BI dashboards and KPIs (data quality, reconciliations, SLA/operational metrics) with reliable refreshes.

Required Skills:

    - 2+ years in Regulatory Reporting tool Axiom or Suade
    - 3+ years software development experience in Scala/Spark (Java)
    - Database experience such as SQL, RDBMS platform like Snowflake DB (preferred) , Postgres
    - Python Scripting
    - Experience incorporating AI-assisted development tools (e.g., GitHub Copilot, Claude) with an engineering approach
    - Experience with PowerBI 
    - Bachelors or related field experience

Desired Skills:

    - Knowledge of Unix commands/shell scripting
    - Knowledge of Job Automation/Scheduling concept with Autosys or Apache Airflow
    - Knowledge of CI/CD methodology
    - Experience with Azure cloud technologies such as Databricks
    - Experience working in an agile team with focus on continued integration and automated testing
    - Practical experience delivering AI-enabled use-cases (not just experimental)

We invite you to stay connected with us by subscribing to our monthly job openings alert here.

Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. 

For employment opportunities based in Canada:
Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates. 

*Must be legally eligible to work in Canada. 

Similar Jobs at Bounteous

2 Days Ago
Hybrid
Montréal, QC, CAN
Senior level
Senior level
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Design, build, and operate production-grade GenAI workflow platforms for Lending: document ingestion and extraction, AI assistants, automated content generation, LLMOps, model selection and evaluation, retrieval systems, PII controls, and governance with human-in-the-loop review and reliability monitoring.
Top Skills: Agentic WorkflowsAngularChunkingColbertJavaLangchainLlmopsLlmsMetadata FilteringMulti-Stage RetrievalPrompt ManagementPythonRagRe-RankingReactTool/Function CallingVector Search
9 Days Ago
Hybrid
Montréal, QC, CAN
Mid level
Mid level
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Develop and enhance Java applications using Spring Framework, write SQL queries, and implement TDD. Prefer experience in investment banking.
Top Skills: ActivemqJavaKafkaMulti-ThreadingRabbitMQSpring FrameworkSQLTest-Driven Development (Tdd)
24 Days Ago
Hybrid
Montréal, QC, CAN
Senior level
Senior level
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Senior Java developer responsible for designing, building and optimizing enterprise Java applications using Spring and SQL. Apply TDD, write unit/integration tests, implement multithreaded low-latency solutions for financial systems, collaborate with DevOps/QA/product teams, and translate business requirements into technical designs.
Top Skills: JavaMultithreading/ConcurrencyObject Oriented ProgrammingSpring BootSpring DataSpring MvcSpring SecuritySQLTdd

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account