{"id":62986,"url":"https://alion.io/job/nium-data-engineer-regulatory-reporting-portfolio-intelligence","title":"Senior Analyst - Regulatory Reporting","company":{"id":5992,"name":"Nium","domain":"nium.com","url":"https://alion.io/company/nium","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":99,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"SOAP","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-18T07:12:43Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-18T17:41:25Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":60},"description":"About the Role:\nJoin our Risk & Compliance team as a Data Engineer supporting Regulatory Reporting and Portfolio Intelligence initiatives. You will work closely with Country Compliance, Money Laundering Reporting Officers (MLROs), Risk, and Product teams to build the data infrastructure that powers regulatory compliance, reporting, and portfolio management across Nium's global operations.\nThis is a technical role with a strong regulatory edge - you'll not only architect and implement scalable data pipelines and connectors, but also help translate complex regulatory requirements into actionable data solutions. You'll be a bridge between compliance/risk domain expertise and technical data engineering, ensuring our regulatory data is accurate, auditable, and readily available for both internal decision-making and regulatory submissions.\nKey aspects of the role:\nDesign and build scalable, maintainable data pipelines for regulatory and compliance data\nDevelop and maintain XML and REST API connectors to ingest data from banking partners, regulatory bodies, and internal systems\nImplement bit request processing for real-time transaction data integration and portfolio updates\nInterpret regulatory requirements (transaction reporting, sanctions screening, KYC/AML, portfolio limits) and translate them into data models and processing logic\nWork directly with Country Compliance, MLRO, Risk, and Product teams to understand data needs and operationalize compliance rules\nEnsure all data flows are auditable, traceable, and compliant with regulatory standards and internal policies\nKey Responsibilities:\nBuild and optimize scalable, maintainable, and high-performance data pipelines for regulatory data ingestion, transformation, and delivery.\nDevelop XML and REST API connectors to integrate data from banking partners, regulatory feeds, internal systems, and risk/compliance platforms.\nImplement bit request handlers to support real-time transaction and portfolio data updates for risk monitoring and regulatory reporting.\nWork with Compliance, MLRO, and Risk teams to understand regulatory filing and reporting requirements, then design data models and transformations to support them.\nInterpret regulatory requirements (sanctions lists, transaction thresholds, portfolio limits, reporting deadlines) and encode them into data logic and quality checks.\nDesign and maintain efficient data models in cloud data warehousing solutions (e.g., Redshift) optimized for regulatory reporting, audit trail queries, and risk analytics.\nWrite complex SQL queries and transformations to prepare data for compliance analysis, regulatory submissions, and audit trails.\nIngest and transform both structured (databases, APIs) and semi-structured (XML, JSON) data at scale from diverse compliance and risk sources.\nEstablish robust data quality checks, monitoring, and alerting mechanisms to ensure data integrity for regulatory compliance and risk control effectiveness.\nSupport cloud migration initiatives and modernize legacy data pipelines (e.g., on premises to AWS).\nDocument data pipelines, connectors, and technical architecture for auditability, regulatory inspection readiness, and cross-team knowledge sharing.\nCollaborate with Country Compliance, MLRO, Risk, Product, and Data teams to operationalize compliance rules and regulatory logic into scalable systems.\nEvaluate effectiveness of data controls, monitoring, and quality checks using testing and validation (e.g., completeness checks, SLA validation, rule effectiveness).\nRequirements:\n3-5 years of professional experience in Data Engineering, ETL/ELT pipeline development, or systems integration\nStrong SQL expertise including query optimization, complex transformations, and data modelling.\nSolid proficiency in Python (or similar language) for writing data pipelines, scripts, and data processing logic.\nHands-on experience designing and developing API connectors (REST, SOAP) and working with XML/JSON data formats.\nExperience with cloud data platforms (AWS Redshift, Snowflake, Google Big Query, or similar) and cloud storage (S3, GCS, etc.)\nFamiliarity with data orchestration tools (Apache Airflow, Prefect, or equivalent) for workflow automation.\nUnderstanding of data modelling concepts and ability to design efficient schemas for analytical and operational workloads.\nExperience with real-time or near-real-time data processing (Kafka, streaming pipelines) is a plus.\nKnowledge of data quality frameworks and testing practices for data pipelines.\nStrong problem-solving skills and ability to debug complex data integration issues.\nCollaborative mindset with ability to work across technical and non-technical stakeholders.\nFamiliarity with regulatory reporting requirements (e.g., transaction reporting, sanctions screening, KYC/AML, portfolio monitoring) is highly valuable.\nAbility to learn and interpret regulatory documentation and translate compliance/risk requirements into technical specifications.","description_format":"text","description_chars":4974,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Payment Processing & Gateways","Money Transfer & 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