Associate / VP - Quantitative Analyst - Quant Strategy Research

Bank of America; Hong Kong; On-site; HKD 900,000 - 1,400,000; Full time

Job summary

Bank of America is seeking a Global Quantitative Strategy Research Analyst to develop new investment strategies for stock selection and allocation. The role involves publishing research reports distributed to clients globally and collaborating with the Quantitative Strategy team to implement ideas using advanced analytics.

You will identify bottlenecks and build automated, production‑quality analytics pipelines, while presenting complex analyses to institutional investors.

Qualifications

• Bachelor’s degree or higher in a quantitative field (e.g., CS, math, stats, finance).
• 3+ years of experience with Python and SQL and scalable analytics.
• Experience with market data platforms (FactSet, Bloomberg) and alternative data tools (RavenPack).
• Ability to distill complex data into actionable insights and present to investors.

Responsibilities

• Develop new investment strategies for stock selection and allocation.
• Publish research reports distributed to clients globally.
• Collaborate with the Quantitative Strategy team to implement ideas using advanced analytics.
• Identify bottlenecks and build automated, production‑quality analytics pipelines.
• Present complex analyses to institutional investors.

Skills

Python

SQL

Data analysis

Communications

AI awareness

Education

Bachelor's degree or higher in Computer Science / Mathematics / Statistics / Finance

Tools

FactSet

Bloomberg

RavenPack

ETL pipelines

Job description

Job Description

Bank of America is seeking a Global Quantitative Strategy Research Analyst to develop new investment strategies for stock selection and allocation.

Responsibilities

• The candidate will work with the Global Quantitative Strategy research team developing new investment strategies for stock selection and allocation (styles, sectors, countries, and regions) to be published in research reports which are distributed to clients of the firm globally.
• Working with Quantitative Strategist to implement new research ideas using new‑age analytics.
• Involved in identifying bottlenecks in existing processes and providing innovative automated solutions.
• Presenting complex analysis to a diverse audience of investors.

Requirements

• Highly analytical, numerate, and detail‑minded.
• Bachelor degree or higher in Computer Science, Mathematics, Statistics, Finance, or similar analytical field.
• At least three years of experience with Python and SQL, with a strong ability to build scalable, production‑quality analytics, data pipelines, and research tools.
• Proficiency with market data and analytics platforms, particularly FactSet and Bloomberg; experience with RavenPack or other alternative data analytics platforms would be highly valued.
• Able to actively embrace AI and emerging technologies to improve research productivity, automate workflows, and enhance investment insight generation.
• Experience working with large, complex, and unconventional data sets, with solid knowledge of data structures, algorithms, and scalable data‑processing techniques.
• Strong communication skills. Proven ability and willingness to work as a member of a team.
• Talent for distilling complex information into clear, actionable insights.
• Experience presenting to institutional clients will be highly valued.
• The position will be in either Sydney or Hong Kong, depending on the suitability of the candidate.
• Candidates with Mandarin skills will be an advantage.