Quantitative Analyst

QUANTITATIVE ANALYST

Division: Treasury and Financial Markets

Department: Treasury and Financial Markets Department

Work Location: 17th Floor, Vincom Tower A, 191 Ba Trieu Street, Hanoi, Vietnam

Link job: https://tuyendung.bidv.com.vn/tin-tuyen-dung/1028/chuyen-vien-du-lieu-va-phan-tich-dinh-luong-cap-3-4.html

PIC: Tu C Phm - 0325.231.644

1. Job Responsibilities

Quantitative Research and Financial Modelling

• Develop quantitative models to analyze and forecast macroeconomic trends and financial market movements.
• Collaborate with trading and business teams to develop and apply quantitative models for treasury and financial markets activities, including financial product valuation.
• Provide technical advice and independent assessments on quantitative analysis and data science applications across treasury and financial markets operations.

Financial Data Management and Advanced Analytics

• Develop, manage, and enhance treasury and financial markets datasets to support business management, operational monitoring, and decision-making.
• Research and apply Machine Learning (ML), Artificial Intelligence (AI), and emerging technologies to financial market forecasting, product and customer analysis, and business decision-making.
• Support the integration of quantitative analytics and data-driven approaches into treasury and financial markets activities.

Research, Knowledge Sharing, and Business Support

• Participate in research projects at the banking industry or BIDV-wide level, focusing on applications of quantitative analysis, data science, and technology in treasury and financial markets.
• Provide technical training and knowledge sharing to colleagues on relevant analytical methodologies and professional topics.
• Support product communication and customer engagement activities, including presentations and client meetings, as assigned.
• Perform other duties as assigned by authorized management.

2. Candidate Requirements

Professional Experience and Technical Skills

• Minimum 02 years of professional experience in Quantitative Finance, Data Science, or Artificial Intelligence, preferably with practical applications in the banking sector.
• Proficiency in Python (NumPy, SciPy, Pandas) and SQL, with good practices in source code management and technical documentation.
• Hold a Data Science Certificate from WorldQuant University (WQU) or commit to completing the certification during the probationary period.
• Completion of or ongoing study toward professional certifications such as CQF, DASCA, or FRM is an advantage.