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Embark on a transformative journey as a Prime Risk Platform Architect - VP at Barclays. Our vision is clear - to redefine the future of banking by crafting innovative solutions. In this role, you will be part of the Liquid Financing Technology team. Our team is currently investing in building a modern, Client Risk Management platform, cross-asset risk management solution that delivers real-time analytics, AI enabled workflows, and reporting for front-office users. As an Architect, you would drive end‑to‑end architecture for a low‑latency, high‑throughput, highly available risk platform that delivers real‑time credit risk, market risk, and liquidity risk analytics across asset classes. You will define platform principles, reference architectures, and standards enabling real-time risk exposure monitoring, intraday limits & margin forecasting, and what‑if stress/scenario analysis, at enterprise scale, with security, controls, and cost efficiency. In this role, you would be working closely with front office risk desk, quants and broader Liquid Financing engineering team aligned to firm’s architecture standards for Data, Compute, AI & Visualization.
Job Responsibility:
Drive end‑to‑end architecture for a low‑latency, high‑throughput, highly available risk platform that delivers real‑time credit risk, market risk, and liquidity risk analytics across asset classes
Define platform principles, reference architectures, and standards enabling real-time risk exposure monitoring, intraday limits & margin forecasting, and what‑if stress/scenario analysis, at enterprise scale, with security, controls, and cost efficiency
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
Requirements:
Experience with software/platform engineering, with significant experience as a technical / solution architect on complex and distributed real time or near real time risk or trading systems with large data volumes
Expertise with AWS Well Architected Framework - EKS, MSK, EC2, Lambda, S3, Aurora, DynamoDB, IAM, KMS, VPC, CloudWatch, Step Functions with experience in designing high-availability multi-AZ designs
Experience with Spark Streaming with Python (PySpark) on EMR/EKS
Kafka architecture and tuning
Kubernetes microservices
Flink/Kinesis for low latency event processing and streaming ETL
Experience with designing S3 data lakes with Delta/Iceberg/Hudi, using Aurora Postgres/DynamoDB, ElastiCache (Redis), Athena/Glue, and time series storage
Experience with Angular based real-time UI patterns
QuickSight/Power BI/Tableau
Nice to have:
Experience with LLM powered capabilities – chat interfaces integrated with RAG Pipelines, embeddings, and agentic workflows integrated with SageMaker pipelines
CloudWatch, Open Telemetry, Prometheus/Grafana
Direct experience with prime brokerage / prime finance risk platforms or FO/MO risk tools (e.g., real time exposure, VaR/stress, PFE, or x asset risk engines)
Demonstrated influence and leadership across multiple squads/regions in a matrixed investment banking environment
AWS Certified Solutions Architect – Associate or Professional