quantitative software engineer

توضیحات آگهی

The Opportunity We are looking for a highly technical software engineer to help build production grade systems for automated asset management and quantitative trading The ideal candidate is strongest in Python backend engineering data systems and machine learning infrastructure Deep quantitative finance knowledge is not required However interest in financial markets is important and prior experience in trading systems market data asset management or HFT is highly preferred What You ll Do Build and maintain our Python Django based asset management and trading platform Design scalable backend services REST APIs data models and internal tools Develop reliable data pipelines for market data ingestion APIs scheduled jobs and web based data sources Optimize SQL database performance across PostgreSQL SQL Server or similar relational databases Convert research prototypes into clean testable production ready code Support ML driven signal generation model deployment monitoring and analytics workflows Build dashboards and reporting tools for internal research portfolio monitoring and client use Collaborate with quantitative researchers to translate models into maintainable software Improve platform reliability performance observability and scalability Follow engineering practices Git testing CI CD code reviews documentation and clean architecture Must Have Qualifications 2 4 years of professional software development experience Strong Python proficiency and ability to write clean reliable production quality code Experience with Django FastAPI Flask or similar backend frameworks Strong SQL skills including database design indexing query optimization and relational databases such as PostgreSQL SQL Server or MySQL Experience working with data heavy applications using pandas NumPy or similar libraries Familiarity with machine learning workflows including model training evaluation deployment or monitoring Strong software engineering fundamentals Git unit testing debugging design patterns error handling logging and documentation Strong problem solving ability and comfort working on complex technical systems Bachelor s degree in Computer Science Software Engineering Data Science Engineering Mathematics or a related technical field Preferred Qualifications Experience in HFT trading systems market data platforms execution systems or low latency environments Exposure to asset management quantitative finance portfolio analytics backtesting or time series data Experience with data orchestration tools such as Airflow Celery Prefect Dagster or similar platforms Familiarity with monitoring and observability tools such as Grafana Prometheus Kibana ELK or similar systems MLOps experience including MLflow DVC Docker model versioning deployment and monitoring Experience with cloud platforms Linux environments containerization or production infrastructure Master s degree in a technical field is a plus What We Value We value strong engineers who can build reliable systems learn quickly and take ownership Financial markets knowledge is a plus but technical excellence clean code problem solving ability and production mindset are the most important qualities for this role تهران تهران جردن تمام وقت کارگزاری مفید کارشناس جنسیت تفاوتی ندارد سرمایه گذاری و مالی