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.
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.
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.
- 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
- 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)
- 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
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Build and maintain Java-based backend and scalable data pipelines while migrating legacy ETL from on-prem (Teradata) to cloud-native platforms (Databricks, Snowflake). Collaborate with engineering and architecture teams on modernization, performance tuning, testing, deployment, and production support for enterprise-scale distributed data systems.
Top Skills:
DatabricksETLJavaSnowflake
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
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
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
