Software Engineer

Overview

We are seeking a Software Engineer to build and enhance scalable data platforms supporting risk and regulatory reporting within Capital Markets. This role focuses on engineering robust, high-performance systems that power intraday risk, end-of-day processes, and regulatory reporting (including FRTB), with strong emphasis on data integrity, lineage, and platform reliability.

Key Responsibilities

Platform & System Engineering

• Design and develop scalable backend systems and services supporting risk and regulatory data workflows
• Build reusable frameworks and components for data ingestion, processing, and validation
• Develop APIs and services to expose risk data to downstream consumers

Data Platform Development

• Engineer systems supporting:
  • Intraday risk data delivery (low latency)
  • End-of-day (EOD) batch processing
  • Regulatory reporting pipelines (FRTB)
• Implement robust data transformation and validation logic

Data Quality & Governance

• Embed data quality controls, validation rules, and reconciliation logic into platform components
• Ensure data lineage, traceability, and auditability across systems
• Support and enforce data contracts for downstream systems

Performance & Scalability

• Optimize systems for high-throughput, low-latency processing
• Ensure resilience and fault tolerance in distributed environments

Collaboration

• Work closely with Risk, Front Office, and Quant teams to align on data requirements
• Partner with Data Engineers and Architects on platform evolution

Required Experience

• 5–10+ years in software engineering, preferably in Capital Markets or financial services
• Experience building distributed systems and data-intensive applications
• Exposure to risk or regulatory data workflows (market risk, PnL, FRTB)

Technical Skills

• Strong programming: Java, Scala, or Python
• Experience with:
  • Distributed systems design
  • Event-driven architectures
  • Microservices / API development
• Familiarity with data technologies:
  • Apache Spark
  • Kafka or similar messaging systems
• Cloud experience: AWS, Azure, or GCP