Software Engineer – Data Platform (Risk & Regulatory

Confidential; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Confidential is seeking a Software Engineer based in New York, NY, to build and enhance scalable data platforms for risk and regulatory reporting in Capital Markets. The ideal candidate has 5–10+ years in software engineering and expertise in Java, Scala, or Python. Responsibilities include designing backend systems, optimizing for performance, and ensuring data quality. This role offers the opportunity to work collaboratively with Risk and Quant teams.

Qualifications

• 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).

Responsibilities

• 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.
• Optimize systems for high-throughput, low-latency processing.

Skills

Software engineering

Distributed systems

Data processing

Java

Scala

Python

Job description

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

• 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

• 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
• 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