Job Description

Salary: $140,000 - 180,000 per year Requirements:

• 5+ years of professional software engineering experience, with strong hands-on Python development.
• Strong knowledge of object-oriented programming, data structures, algorithms, and software design principles.
• Experience building production-grade backend applications, APIs, and data-processing systems.
• Strong SQL skills and experience with relational databases such as PostgreSQL, SQL Server, or Oracle.
• Experience with Python libraries and frameworks such as Pandas, NumPy, FastAPI, Flask, or Django.
• Familiarity with multithreading, multiprocessing, asynchronous programming, and performance optimization.
• Experience with Linux, Git, automated testing, and CI/CD pipelines.
• Strong problem-solving skills and ability to work directly with business stakeholders.
• Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• Preferred: Experience at a hedge fund, asset manager, investment bank, proprietary trading firm, or financial technology company.
• Preferred: Understanding of equities, fixed income, derivatives, or other financial instruments.
• Preferred: Experience with front-office trading systems, portfolio management, risk analytics, or P&L platforms.
• Preferred: Knowledge of market data providers such as Bloomberg, Refinitiv, or FactSet.
• Preferred: Experience with Kafka, Redis, Spark, Airflow, or other distributed data technologies.
• Preferred: Familiarity with AWS, Docker, Kubernetes, and cloud infrastructure.
• Preferred: Exposure to quantitative research workflows, backtesting, or systematic investment strategies.
• Preferred: Experience in a high-performance, business-facing engineering environment.

• Design, develop, and maintain scalable Python applications for front-office trading, portfolio management, and investment analytics.
• Work with portfolio managers, traders, and quantitative researchers to turn business needs into robust technical solutions.
• Build and improve trading infrastructure, portfolio analytics platforms, and real-time market data processing systems.
• Develop pipelines to ingest, normalize, and process large volumes of market, reference, and alternative data.
• Create tools for P&L calculations, risk analytics, position management, and portfolio exposure monitoring.
• Develop RESTful APIs, microservices, and distributed applications that integrate with trading and investment platforms.
• Optimize performance and processing efficiency, and troubleshoot production issues.
• Use relational and NoSQL databases to support high-volume financial data processing.
• Collaborate with infrastructure, DevOps, and data engineering teams to enhance reliability, automation, and deployment processes.
• Participate in architecture discussions, code reviews, testing, and continuous improvement.
• Own applications throughout the full software development lifecycle.

• Airflow
• AWS
• Backend
• CI/CD
• Cloud
• DevOps
• Django
• Docker
• FastAPI
• Flask
• Git
• Support
• Kafka
• Kubernetes
• Linux
• NoSQL
• Oracle
• PostgreSQL
• Python
• Redis
• SQL
• Spark
• microservices
• numpy
• pandas

More:

We are seeking a Senior Python Developer for a leading hedge funds technology team. This hands-on software engineering role works closely with portfolio managers, quantitative researchers, traders, and risk professionals to build high-performance applications supporting investment strategies, portfolio analytics, trading, and risk management. It is focused on software engineering rather than pure quantitative research. We are looking for an engineer who enjoys complex technical challenges and can deliver reliable, scalable applications in a demanding financial environment.

last updated 44 week of 2026

Job Tags

Similar Jobs