Position Details
About this role
This role involves developing and maintaining AI-powered forecasting models and pattern discovery frameworks within a financial trading environment. The focus is on predictive analytics, time series modeling, and automation to support trading and risk management.
Key Responsibilities
- Develop AI forecasting models
- Apply statistical learning techniques
- Build time-aware algorithms
- Collaborate across teams
- Maintain scalable ML/AI models
Technical Overview
The technical environment includes machine learning, artificial intelligence, time series analysis, and programming in Python, C++, and Java. The role emphasizes model development, deployment, and integration in a financial services setting.
Ideal Candidate
The ideal candidate is a senior quantitative analyst with over 5 years of experience in securities and financial modeling, proficient in machine learning and time series analysis, with strong programming skills in Python, C++, and Java. They should have a solid background in quantitative finance and experience deploying scalable models in production environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of securities quantitative analytics experience, Lack of programming experience in Python, C++, or Java, No background in quantitative finance or ML/AI, No experience with model deployment or lifecycle management
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile