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About the Role

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.

Responsibilities

Develop new investment strategies for stock selection and allocation.
Implement new research ideas using new-age analytics.
Identify bottlenecks in existing processes and provide automated solutions.
Present complex analysis to a diverse audience of investors.

Requirements

Highly analytical, numerate, and detailed minded.
At least three years of experience with Python and SQL.
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 is 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.
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.
Mandarin skills will be an advantage.

Skills

Python
SQL
FactSet
Bloomberg
RavenPack
AI
Data structures
Algorithms
Data-processing techniques
Mandarin

Location

Sydney
Hong Kong

Work Type

In-office culture

Experience Level

At least three years of experience

Education Level

Bachelor degree or higher in Computer Science, Mathematics, Statistics, Finance, or similar analytical field.

Benefits

Competitive benefits to support their physical, emotional, and financial well-being.

About the Company

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.
Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world.
We’re devoted to being a diverse and inclusive workplace for everyone.
We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees.
We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference.
Partnering Locally Learn about some of the ways Bank of America is making a difference in the communities we serve.
Global Impact Learn about the six areas that guide Bank of America’s efforts to help make financial lives better for customers, clients, communities and our teammates.
Opportunity and Inclusion Each employee brings unique skills, background and opinions.
We see opportunity and inclusion as our platform for innovation and a key component in our success.
Our Values Learn about our four values that represent what we believe.