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Front Office Automation Tester

Charlotte, NC, US • Posted 1 hour ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

Application Development
Pricing
Order Management
Oracle Management Server
Quantitative Analysis
Agile
Sprint
Scalability
Regulatory Compliance
Python
OOD
Flask
Django
Multithreading
Performance Tuning
SQL
Database
PostgreSQL
PL/SQL
MySQL
Apache Kafka
RabbitMQ
IBM WebSphere MQ
Git
Jenkins
Continuous Integration
Continuous Delivery
Linux
Unix
Analytical Skill
Debugging
Problem Solving
Conflict Resolution
Communication
Collaboration
Front Office
Fixed Income
Derivatives
Bonds
Real-time
Market Analysis
Workflow
Investment Banking
Capital Market
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Docker
Kubernetes
Microservices
Finance
Messaging
Trading

Application Development
Pricing
Order Management
Oracle Management Server
Quantitative Analysis
Agile
Sprint
Scalability
Regulatory Compliance
Python
OOD
Flask
Django
Multithreading
Performance Tuning
SQL
Database
PostgreSQL
PL/SQL
MySQL
Apache Kafka
RabbitMQ
IBM WebSphere MQ
Git
Jenkins
Continuous Integration
Continuous Delivery
Linux
Unix
Analytical Skill
Debugging
Problem Solving
Conflict Resolution
Communication
Collaboration
Front Office
Fixed Income
Derivatives
Bonds
Real-time
Market Analysis
Workflow
Investment Banking
Capital Market
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Docker
Kubernetes
Microservices
Finance
Messaging
Trading

Summary

Senior Python Developer - Front Office Trading

Location: Hybrid - Charlotte, NC

Experience Level: Senior (5+ Years)

Summary

We are seeking an experienced Senior Python Developer to design, develop, and support high-performance Front Office trading applications. The ideal candidate will have strong expertise in Python development, financial markets, trading systems, and low-latency application development while working closely with Front Office traders, quantitative analysts, business users, and technology teams.

Key Responsibilities

Design, develop, and maintain scalable Python applications supporting Front Office trading platforms.
Develop and enhance trading applications, pricing engines, market data services, and order management systems (OMS).
Collaborate with traders, quantitative analysts, business analysts, and technology teams to deliver business-critical solutions.
Build APIs, microservices, and backend services for real-time trading and market data processing.
Optimize application performance for low-latency trading environments.
Integrate applications with market data providers, trading platforms, and financial messaging systems.
Troubleshoot production issues and provide ongoing support for Front Office applications.
Participate in Agile ceremonies including sprint planning, code reviews, and release activities.
Develop automated unit tests and support CI/CD deployment pipelines.
Ensure code quality, scalability, security, and compliance with enterprise development standards.

Required Skills

7+ years of professional Python development experience.
Strong expertise in Python programming and object-oriented design.
Experience building REST APIs using FastAPI, Flask, or Django.
Strong knowledge of multithreading, multiprocessing, asynchronous programming, and performance optimization.
Experience working with SQL databases such as PostgreSQL, Oracle, SQL Server, or MySQL.
Knowledge of messaging technologies such as Kafka, RabbitMQ, or MQ.
Experience with Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines.
Strong understanding of Linux/Unix environments.
Excellent analytical, debugging, and problem-solving skills.
Strong communication and collaboration skills.

Domain Experience

Strong understanding of Capital Markets and Front Office Trading.
Experience supporting trading desks, electronic trading platforms, or market data systems.
Knowledge of Fixed Income and Derivative products including:
- Swaps
- Caps & Floors
- Swaptions
- Bonds
Experience working with real-time market data and trading workflows.

Preferred Qualifications

Experience working in investment banking or capital markets.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Experience with containerization technologies including Docker and Kubernetes.
Exposure to distributed systems, event-driven architectures, and microservices.
Experience with financial messaging protocols or trading APIs is a plus.

#LI-HK1

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: sharpdec
Position Id: 53149
Posted 1 hour ago

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