Description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

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 bottle necks in existing processes and providing innovative automated solutions.
• Presenting complex analysis to a diverse audience of investors.

Requirements

• Highly analytical, numerate, and detailed 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