The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Data Scientist, Applied AI
Company Overview
This global, multi-strategy investment firm manages over $21 billion in assets and operates across six investment strategies, including Equities Long/Short, Macro, Commodities, Systematic, and Growth Equity. With more than 160 portfolio managers and a diverse team of investment professionals across 19 offices worldwide, they are dedicated to delivering uncorrelated returns in all market environments.
Role Overview
As a Data Scientist on the Applied AI team, you will collaborate with senior AI engineers and quantitative researchers to build and implement AI-driven solutions that leverage cloud-based data and distributed computing. You will manage the AI software development cycle, maintain CI/CD pipelines, and create high-quality, well-documented software. This position requires strong analytical and problem-solving skills to support the firm’s mission in a fast-paced trading environment.
Key Responsibilities
- Develop and deploy AI systems, working closely with senior AI engineers and researchers.
- Utilize cloud-based data and distributed computing to build AI solutions.
- Manage CI/CD pipelines and maintain quality standards throughout the software development cycle.
- Actively participate in technical design sessions, feature brainstorming, and code reviews.
- Resolve system issues promptly and contribute to the team’s technical growth.
Qualifications
- Postgraduate degree in a quantitative field, such as Computer Science, Data Science, or Mathematics.
- 3+ years of experience as a Data Scientist or AI engineer with expertise in Python, data wrangling, and machine learning libraries.
- Experience with natural language processing, LLMs, and machine learning for business applications.
- Familiarity with LLM architectures (e.g., GPT, Llama) and fine-tuning techniques such as PEFT, RAG, and prompt engineering.
- Understanding of AI development tools like LangChain, Arthur Bench, and CI/CD practices.
- Cloud environment experience; AWS familiarity is preferred.
Preferred Qualifications
- Research publications or conference presentations in AI or machine learning.
- Teaching experience and the ability to develop training material.
- Experience with named-entity recognition models and/or the financial industry.
Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- Users must click to apply, redirecting to the employer’s career page.
- No Liability: SpringCube is not liable for inaccuracies.
