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:
[protected info]
PIC:
Tu C Phạm - [protected info]. 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.
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