AI Engineer

MERIDIAN & SATURN CAPITAL PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a talented AI Engineer to develop cutting-edge solutions for financial time series data. This role involves leveraging advanced AI technologies to tackle real-world financial challenges, including forecasting and risk modeling. The ideal candidate will have a strong background in Python and machine learning, with a focus on time series modeling. This is a fantastic opportunity to join a forward-thinking company that emphasizes research and development in the financial sector, offering a dynamic environment for those passionate about applying AI in finance.

Qualifications

• MSc or PhD in relevant fields required.
• Strong proficiency in Python and AI libraries essential.

Responsibilities

• Build complex workflows using LLM for quantitative finance.
• Collaborate with researchers to integrate AI models into platforms.

Skills

Python

Machine Learning

Deep Learning

Time Series Modelling

Generative Models

Education

MSc in Computer Science

PhD in Artificial Intelligence

Tools

AI Libraries

Data Processing Frameworks

Job description

MS Capital is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.

We are looking for a highly skilled AI Engineer with expertise in time series modelling and foundation models to develop and deploy advanced AI solutions for financial time series data. This role is ideal for someone passionate about deep learning, generative models, and applying AI to real-world financial problems such as forecasting, anomaly detection, risk modelling, and strategy optimization.

We also welcome current MSc or PhD students to start as internship role, for those have related research/academic experience for time series foundation model.

Key Responsibilities:

• Build agents and complex workflows based on LLM for applications in quantitative finance
• Design specialized agents for diverse financial datasets(e.g., equities, derivatives, macroeconomic indicators) and strategies to enable end-to-end automation from data ingestion to signal generation
• Evaluate the performance of financial AI model agents using statistical metrics, backtesting, etc.
• Collaborate with quantitative researchers and data scientists to integrate multi-scenario financial AI models into research and trading platforms

Required Qualifications:

• MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence or related field.
• Strong proficiency in Python programming and familiarity with AI and machine learning libraries
• Experience with large-size data structures, algorithms, and software engineering best practices.
• Proven track record for research & development of time-series model
• Familiarity with real-time data pipelines and stream processing frameworks

Interested applicants please apply and/or send your resume to [e-mail]