APAC Equity Strategy Associate – Big Data

Macquarie Group; Hong Kong; Hybrid; HKD 600,000 - 900,000; Full time

Benefits offered by this job

Wellbeing leave

Parental leave

Volunteer leave

Hybrid work

Learning & development

Work from home equipment reimbursement

Job summary

Macquarie Group in Hong Kong seeks an APAC Equity Strategy Associate – Big Data to develop differentiated insights at the intersection of fundamentals and alternative data. You will work with the Head of APAC Equity Microstrategy to turn complex datasets into investment ideas and outcomes.

You will partner with Equity Research, Sales and Trading to translate analytics into commercially actionable intelligence, supporting the growth of equity strategy products across Asia Pacific.

Qualifications

• Degree in Computer Science, Economics, Mathematics, Physics, Quantitative Finance or related field.
• 1+ year of experience with large datasets and generating insights.
• Strong Python/Tableau skills and ability to translate data into insights.
• Excellent communication and stakeholder management to present complex findings.

Responsibilities

• Apply data science, automation and visualization to identify opportunities across markets and sectors.
• Collaborate with Equity Research, Sales and Trading to translate analytics into insights.
• Analyse large datasets to uncover patterns, trends and investment signals.
• Transform complex information into actionable equity strategy outputs.

Skills

Python

Tableau

Data analysis

Stakeholder management

Communication

Education

Degree in Computer Science

Tools

Python

Tableau

Job description

APAC Equity Strategy Associate – Big Data

Join our Equities team in Hong Kong and help shape the next generation of equity strategy products across Asia Pacific. Working closely with the Head of APAC Equity Microstrategy, you will support the development of differentiated investment insights at the intersection of fundamentals, thematic investing, market structure, and alternative data. This is a unique opportunity for a technically minded and intellectually curious individual to apply data and technology to uncover investment opportunities across markets and sectors.

We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you’re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

What role will you play?

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In a collaborative and fast-paced environment, you will apply data science, automation, and visualisation techniques to uncover opportunities across markets, sectors, and companies. Partnering closely with Equity Research, Sales, and Trading teams, you will contribute to research projects, communicate key findings, and help translate analytical outputs into commercially relevant insights. You will analyse large datasets to identify patterns, trends, and signals that can inform investment decisions.

Leveraging data from financial information platforms such as Bloomberg, FactSet, exchange datasets, alternative data providers, and internal research resources, you will transform complex information into actionable insights and support the development of innovative equity strategy products. Success in the role requires intellectual curiosity, strong problem-solving skills, and the ability to navigate ambiguity while combining technical expertise with commercial thinking.

What you offer

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• A degree in Computer Science, Economics, Mathematics, Physics, Quantitative Finance or a related discipline
• 1+ year of experience working with large and complex datasets, with a track record of generating insights and solving analytical problems
• Strong technical and analytical skills, including experience with Python, Tableau, or similar tools, and the ability to translate data into clear, actionable insights
• Excellent communication and stakeholder management skills, with the ability to present complex findings effectively to both technical and non-technical audiences
• A curious, proactive, and adaptable mindset, with an interest in applying data-driven approaches to investment research and market analysis; prior financial markets experience is an advantage.

What we offer

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At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

• 1 wellbeing leave day and 5 additional paid Flexi-Leave days per year
• 20 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
• 2 days of paid volunteer leave and donation matching
• Option to purchase additional annual leave
• Benefits and initiatives to support your physical, mental, and financial wellbeing including comprehensive medical and life insurance cover and additional flexible wellbeing credits and access to the Rental Reimbursement Program
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

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Macquarie Capital partners with businesses, startups and governments to connect ideas to capital and help drive innovation, growth and create real-world impact. Our global corporate advisory, investing, development and equities capabilities are underpinned by a full spectrum of capital markets solutions and deep sector expertise, with a focus on infrastructure and real assets, technology, software and services, and resources, energy and materials.

Inclusion at Macquarie

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We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance.

We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.