Job Description & Details
This is a heavy-hitting Full Stack role sitting at the intersection of quantitative data processing and modern enterprise web development within capital markets. If you enjoy building scalable microservices and high-performance APIs that process massive financial datasets while still touching the UI, this gig will keep you on your toes.
What You'll Actually Be Doing
You'll be bridging the gap between heavy backend data crunching and slick frontend interfaces, working directly with asset management and trading systems. Your day-to-day will involve building high-throughput APIs in Python and Java, writing complex database queries, and ensuring your code holds up under strict financial compliance and performance standards. You won't just be taking tickets; you'll actively participate in requirements gathering, architectural discussions, and intense peer code reviews with other senior engineers.
The Core Tech Stack
You need deep fluency in both Java (Spring Boot, Hibernate) and Python (FastAPI, Pandas, NumPy) because you'll be handling everything from enterprise backend orchestration to heavy data manipulation. On the frontend, React and Node.js are absolute musts for building interactive trading and asset management dashboards. AWS experience (ECS, EKS, Lambda, SQS) combined with Terraform and Datadog/Splunk will be your daily bread and butter for deployment and observability.
Interview Expectations
Expect the interviewers to drill deep into your concurrency handling in both Java and Python, likely asking you how you would optimize a slow-running data pipeline using Pandas or multi-threading in Spring Boot. They want to see if you truly understand capital markets architecture, so be ready to explain how you handle transactional integrity, failovers, and low-latency API design under pressure.
Application Advice
To get past the recruiter's screen, your resume needs to scream domain expertise in asset management, trading, or capital markets right at the top. Don't just list Java, Python, and React; tie them directly to financial projects where you handled heavy data volumes or built real-time trading dashboards. Sprinkle in exact keywords like FastAPI, Spring Boot, AWS, and PostgreSQL to ensure your profile easily clears the ATS parser.