FinTech Analyst

Bitex Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Bitex Limited seeks talents for advanced quantitative modeling, data engineering and AI-assisted development. You will co-design prototyped models, backtest strategies, and build robust data pipelines with rigorous testing across financial systems.

The role emphasizes governance, documentation, and audit trails to support compliant deployment and continuous improvement in a fast-paced investment environment.

Qualifications

• Bachelor’s degree or higher in a STEM field (CS/Math/Stats/Engineering).
• Experience in R&D, ML, data engineering or automated system testing.
• Understanding of market mechanics, regulatory frameworks and trading conventions across HK and US markets.
• Strong problem-solving with commercial awareness across targeted financial sectors.
• Autonomy to drive long-term R&D in a high-intensity tech-driven environment.

Responsibilities

• Model, prototype and backtest quantitative models, MVPs and automated trading tools.
• Build and optimize data pipelines; conduct rigorous white-box and unit testing for critical systems.
• Review and audit AI-generated code for correctness, safety, and resilience.
• Maintain architecture docs, model validation reports and audit trails for compliance and deployment.

Skills

Statistical analysis

Data mining

Financial/econometric modeling

Python

R

SQL

GAS (Google Apps Script)

AI agent development

Prompt engineering

Continuous learning

Education

Bachelor’s degree in STEM

QS Top 100 institution preferred

Tools

Google Apps Script (GAS)

LLM-assisted prototyping tools

Job description

• Model & Prototype Development: Co-design, prototype, and rigorously backtest quantitative models, Minimum Viable Products (MVPs), and automated trading tools.
• Data Engineering & Testing: Build and optimize robust data pipelines; conduct rigorous white-box testing, unit testing, and edge-case validation for critical financial systems.
• AI-Assisted Workflow & Code Audit: Review, benchmark, and audit code generated through LLMs/agentic coding tools to ensure strict algorithmic correctness, execution safety, and system resilience.
• Technical Documentation & Governance: Maintain clear, comprehensive architecture documentation, model validation reports, and audit trails to support continuous deployment and regulatory compliance.

Technical Requirements

• Quantitative Foundations: Solid grounding in statistical analysis, data mining, and financial/econometric modeling.
• Programming Proficiency: High proficiency in Python, R, SQL, or Google Apps Script (GAS).
• AI & Agentic Development: Hands-on experience with modern AI agent frameworks, prompt engineering, and LLM-assisted rapid prototyping workflows ("vibe coding").
• Agility & Continuous Learning: Strong intellectual agility with a proven ability to master and adopt emerging technologies and frameworks quickly.

Qualifications

• Academic Background: Bachelor’s degree or higher in a STEM discipline (Computer Science, Mathematics, Statistics, Engineering, or related quantitative field) from a top-tier institution (QS Top 100 preferred).
• Domain Experience: Demonstrated track record in R&D, machine learning, data engineering, or automated system testing.
• Market Acumen: Sound understanding of market mechanics, regulatory frameworks, and trading conventions across Hong Kong and U.S. capital markets.
• Analytical Mindset: Exceptional problem-solving capabilities with keen commercial awareness across targeted financial sectors and asset classes.
• Execution & Resilience: Proven dedication to long-term R&D initiatives, with the autonomy and drive to excel in a high-intensity, technology-driven investment environment.