Solution Architect -Trading System Analytics. ( Capital Markets - Quant Analytics )

Job Description

Our client which is Large Investment Bank is urgently looking to hire Solution Architect –Trading System Analytics.

Solution Architect – Trading Systems Analytics

Location - NYC, NY

Strong PNL Analytics experience is required.

Need 3 Days Onsite every week.

Job Description

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 .

Architect 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.

Some other highly valued skills may include:

• 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