Quantitative Researcher in Seoul, South Korea – Lead the Next Wave of Data‑Driven Innovation

Ready to turn complex data into actionable insights? Upstage AI invites a Quantitative Researcher to join our dynamic team in Seoul, South Korea, where you’ll design cutting‑edge statistical models, drive algorithmic trading strategies, and shape the future of AI‑powered finance. If you thrive on challenging problems, love coding in Python and R, and want to work alongside industry leaders, this role is your next breakthrough.

About the Role

Key Responsibilities

• Develop and validate quantitative models for pricing, risk, and portfolio optimization.
• Design and execute large‑scale data experiments to uncover hidden market signals.
• Collaborate with product, engineering, and trading teams to integrate research findings into live systems.
• Publish research papers and internal reports that influence strategic decisions.
• Maintain high‑frequency data pipelines and ensure data integrity across multiple sources.
• Implement back‑testing frameworks and conduct rigorous model validation.

Research Focus

Our research agenda emphasizes three core pillars:

• Machine‑learning‑enhanced market prediction – leveraging deep neural networks to forecast asset price movements.
• Risk analytics – building stochastic models for volatility, credit, and liquidity risk.
• Portfolio optimization – applying reinforcement learning to dynamically allocate capital.

Impact

Your work directly influences Upstage AI’s trading performance, risk management frameworks, and client advisory services, delivering measurable value to our partners and shareholders.

Requirements

Technical Skills

• Proficiency in Python (NumPy, pandas, SciPy) and R for statistical analysis and model prototyping.
• Strong command of SQL and NoSQL databases for data extraction, transformation, and loading (ETL).
• Experience with machine‑learning libraries (scikit‑learn, TensorFlow, PyTorch) and deep‑learning architectures.
• Advanced knowledge of time‑series analysis, stochastic calculus, and Monte Carlo simulation.
• Ability to write clean, production‑ready code and perform rigorous back‑testing.
• Familiarity with high‑frequency trading platforms, Bloomberg terminals, or MATLAB for quantitative finance.

Experience

• 3+ years of professional experience in quantitative finance, data science, or related research fields.
• Track record of publishing or presenting research at conferences or journals.
• Hands‑on experience with algorithmic trading systems or financial modeling tools.

Education

• Master’s degree in Quantitative Finance, Statistics, Mathematics, Computer Science, or Economics.
• Ph.D. preferred but not mandatory for exceptional candidates.

Benefits

Compensation

Salary range: $80,000 – $110,000 USD per year, with performance‑based bonuses and equity options that reflect Upstage AI’s growth trajectory.

Work‑Life Balance

• Flexible hybrid work schedule (up to three days remote per week).
• Generous paid time off (20 days + all public holidays).
• Comprehensive health, dental, and vision coverage.

Professional Development

• Access to Upstage AI’s research labs, cloud computing resources, and state‑of‑the‑art data platforms.
• Annual conference budget for attending top AI and finance events.
• Mentorship from senior quantitative leads and cross‑functional learning opportunities.

Culture & Community

• Inclusive, collaborative environment that celebrates curiosity and innovation.
• Regular hackathons, knowledge‑sharing sessions, and open‑source contributions.
• Transparent communication and a flat hierarchy that empowers you to own projects from inception to deployment.

What Sets Us Apart

At Upstage AI we blend cutting‑edge machine learning with rigorous financial theory to deliver AI‑driven solutions that set new industry standards. Our Seoul headquarters is home to a vibrant community of data scientists, engineers, and finance experts who work together to push the boundaries of algorithmic trading, risk analytics, and portfolio management.

Why Join Upstage AI?

Our mission is to democratize sophisticated quantitative tools for global markets while fostering a culture of relentless experimentation. By joining our team, you’ll become part of a fast‑growing startup backed by leading investors, with the opportunity to shape the next generation of AI‑powered financial products.

Application Process

To be considered for the Quantitative Researcher position, please submit the following:

• A concise cover letter highlighting your most impactful quantitative projects and why you’re excited about Upstage AI.
• Your résumé with detailed technical skills, academic background, and relevant certifications.
• Two code samples (e.g., a Jupyter notebook or GitHub repository) that demonstrate model building, data processing, and validation.
• Contact information for professional references.

All materials should be sent in PDF format to careers@upstage.ai with the subject line “Quantitative Researcher – Seoul”.

Upstage AI is an equal‑opportunity employer committed to building a diverse and inclusive workplace. We welcome candidates of all backgrounds who share our passion for data‑driven innovation.