SMILE Growth International Fund LTD
An investment fund focused on delivering long-term value across global markets
Founded in 2026
Managed by professionals with global experience
Globally diversified portfolio
Invest Smart, Grow Strong
We combine cutting-edge technology, rigorous investment standards, and decades of experience to build and manage funds that deliver consistent returns
- TechnologiesWe leverage advanced data processing and Big Data analytics to identify market opportunities and make informed investment decisions01
- ReliabilityStructured under English financial law and operating in accordance with high international investment standards02
- ExperienceOur team brings over 40 years of combined experience in asset management across global markets03
About Us
A little about the company
We are a team of experienced professionals in financial services and modern computing technologies, united by a shared commitment to data-driven investing
Our fund was established in 2026
Since our founding, we have built a strong position in the investment fund industry, delivering results we are proud of.
At SMILE, we place investors and their objectives at the center of everything we do.
Each member of our team is dedicated to rigorous portfolio management, transparent communication, and generating strong risk-adjusted returns for our investors.
At SMILE, we place investors and their objectives at the center of everything we do.
Each member of our team is dedicated to rigorous portfolio management, transparent communication, and generating strong risk-adjusted returns for our investors.
Short-Middle Investments for Long-Term Earnings
SMILE
What do we offer
Access to long-term investment opportunities in global markets
SMILE strategies are reliable tools that have demonstrated their effectiveness over more than five years in the financial markets
We offer institutional-grade fund management, robust investor relations, and a firm commitment to transparency in all operations
Efficient placement of short-term capital
Our strategies
Our fund offers a range of investment strategies developed by our technical and financial specialists, tested across extended time horizons and various market cycles. Each strategy is designed to match specific risk profiles, ensuring the right fit for every investor.
The company's flagship strategy.
Allows you to significantly increase potential profitability with a comfortable level of risk.
Allows you to significantly increase potential profitability with a comfortable level of risk.
SMILE Flagship Strategy
Average annual return
14,23%
73,81%
Accumulated return
Sharpe ratio
2,02
Initial Investment growth/
Cash Flow
Cash Flow
Futures
Options
Cash and cash equivalents
Get presentation
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Career at the Fund
Join our team — we're looking for talented and ambitious professionals
Location: Remote or Hong Kong
Employment type: Full-time
We are looking for an Algorithmic Trading Data Scientist to join our team and help design, test, and optimize data-driven investment strategies. If you are passionate about quantitative research, financial modeling, and turning data into actionable trading signals — we’d love to hear from you.
What you’ll do:
Employment type: Full-time
We are looking for an Algorithmic Trading Data Scientist to join our team and help design, test, and optimize data-driven investment strategies. If you are passionate about quantitative research, financial modeling, and turning data into actionable trading signals — we’d love to hear from you.
What you’ll do:
- Develop and backtest systematic trading strategies using Python (Pandas, NumPy, Matplotlib, etc.)
- Design analytical algorithms and predictive models to identify patterns in financial markets
- Analyze strategy performance using key metrics
- Automate reporting and create insightful dashboards and charts
- Continuously improve models and strategies using historical and real-time data
- Deploy and monitor strategies in live trading environments
- Create clear, interactive interfaces and visualizations to present results to the team and stakeholders
- Strong Python skills and experience with data science libraries
- Solid understanding of statistics and quantitative finance
- Experience with backtesting frameworks and data pipelines
- Attention to detail and ability to work independently
- Familiarity with version control (Git) and collaborative workflows
- Experience in live trading systems
- Knowledge of machine learning methods
- Familiarity with web development (e.g., dashboards or report generation)
Location: Remote or Hong Kong
Employment type: Full-time
We are seeking a Quantitative Research Analyst to support the development of data-driven investment strategies. This role is ideal for someone who thrives on financial market research, enjoys working with large datasets, and wants to turn insights into real trading signals.
What you’ll do:
Employment type: Full-time
We are seeking a Quantitative Research Analyst to support the development of data-driven investment strategies. This role is ideal for someone who thrives on financial market research, enjoys working with large datasets, and wants to turn insights into real trading signals.
What you’ll do:
- Conduct in-depth research on market behavior, macroeconomic factors, and trading anomalies
- Develop and test hypotheses using historical financial data
- Assist in building statistical models for signal generation and risk management
- Work closely with Data Scientists and Portfolio Managers to improve strategy design
- Prepare research reports and present findings to the investment team
- Strong background in statistics, econometrics, or applied mathematics
- Proficiency in Python, R, or similar languages for data analysis
- Experience working with financial datasets and market data
- Curiosity, analytical thinking, and strong attention to detail
- Knowledge of factor models, portfolio theory, or asset pricing
- Experience working with alternative data (e.g., sentiment, satellite, etc.)
Location: Remote or Hong Kong
Employment type: Full-time
We’re looking for a Software Engineer to help build and maintain the infrastructure behind our algorithmic trading operations. You’ll play a key role in ensuring our strategies run efficiently and reliably in both research and live trading environments.
What you’ll do:
Employment type: Full-time
We’re looking for a Software Engineer to help build and maintain the infrastructure behind our algorithmic trading operations. You’ll play a key role in ensuring our strategies run efficiently and reliably in both research and live trading environments.
What you’ll do:
- Design and implement low-latency data pipelines and backtesting systems
- Develop APIs and internal tools to support research and strategy deployment
- Monitor and improve system performance, reliability, and scalability
- Collaborate with data scientists and traders to integrate models into production
- Maintain security, version control, and robust documentation
- Strong programming skills in Python and/or C++
- Experience working with trading infrastructure, databases, and distributed systems
- Familiarity with Linux environments and DevOps tools
- Problem-solving mindset and the ability to work independently
- Experience with financial data feeds and execution platforms (e.g., FIX, IB API)
- Knowledge of time-series databases and message queues (e.g., Kafka, Redis)
Career at the Fund
Join our team — we're looking for talented and ambitious professionals
Location: Remote or Hong Kong
Employment type: Full-time
We are looking for an Algorithmic Trading Data Scientist to join our team and help design, test, and optimize data-driven investment strategies. If you are passionate about quantitative research, financial modeling, and turning data into actionable trading signals — we’d love to hear from you.
What you’ll do:
Employment type: Full-time
We are looking for an Algorithmic Trading Data Scientist to join our team and help design, test, and optimize data-driven investment strategies. If you are passionate about quantitative research, financial modeling, and turning data into actionable trading signals — we’d love to hear from you.
What you’ll do:
- Develop and backtest systematic trading strategies using Python (Pandas, NumPy, Matplotlib, etc.)
- Design analytical algorithms and predictive models to identify patterns in financial markets
- Analyze strategy performance using key metrics
- Automate reporting and create insightful dashboards and charts
- Continuously improve models and strategies using historical and real-time data
- Deploy and monitor strategies in live trading environments
- Create clear, interactive interfaces and visualizations to present results to the team and stakeholders
- Strong Python skills and experience with data science libraries
- Solid understanding of statistics and quantitative finance
- Experience with backtesting frameworks and data pipelines
- Attention to detail and ability to work independently
- Familiarity with version control (Git) and collaborative workflows
- Experience in live trading systems
- Knowledge of machine learning methods
- Familiarity with web development (e.g., dashboards or report generation)
Location: Remote or Hong Kong
Employment type: Full-time
We are seeking a Quantitative Research Analyst to support the development of data-driven investment strategies. This role is ideal for someone who thrives on financial market research, enjoys working with large datasets, and wants to turn insights into real trading signals.
What you’ll do:
Employment type: Full-time
We are seeking a Quantitative Research Analyst to support the development of data-driven investment strategies. This role is ideal for someone who thrives on financial market research, enjoys working with large datasets, and wants to turn insights into real trading signals.
What you’ll do:
- Conduct in-depth research on market behavior, macroeconomic factors, and trading anomalies
- Develop and test hypotheses using historical financial data
- Assist in building statistical models for signal generation and risk management
- Work closely with Data Scientists and Portfolio Managers to improve strategy design
- Prepare research reports and present findings to the investment team
- Strong background in statistics, econometrics, or applied mathematics
- Proficiency in Python, R, or similar languages for data analysis
- Experience working with financial datasets and market data
- Curiosity, analytical thinking, and strong attention to detail
- Knowledge of factor models, portfolio theory, or asset pricing
- Experience working with alternative data (e.g., sentiment, satellite, etc.)
Location: Remote or Hong Kong
Employment type: Full-time
We’re looking for a Software Engineer to help build and maintain the infrastructure behind our algorithmic trading operations. You’ll play a key role in ensuring our strategies run efficiently and reliably in both research and live trading environments.
What you’ll do:
Employment type: Full-time
We’re looking for a Software Engineer to help build and maintain the infrastructure behind our algorithmic trading operations. You’ll play a key role in ensuring our strategies run efficiently and reliably in both research and live trading environments.
What you’ll do:
- Design and implement low-latency data pipelines and backtesting systems
- Develop APIs and internal tools to support research and strategy deployment
- Monitor and improve system performance, reliability, and scalability
- Collaborate with data scientists and traders to integrate models into production
- Maintain security, version control, and robust documentation
- Strong programming skills in Python and/or C++
- Experience working with trading infrastructure, databases, and distributed systems
- Familiarity with Linux environments and DevOps tools
- Problem-solving mindset and the ability to work independently
- Experience with financial data feeds and execution platforms (e.g., FIX, IB API)
- Knowledge of time-series databases and message queues (e.g., Kafka, Redis)
Interested in one of our roles?
Send us your CV in a few clicks.
Send us your CV in a few clicks.
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We will be happy to answer any of your questions
By clicking the "Submit" button, you agree to the Privacy Policy.
Contacts
© Smile International Growth Fund LTD (BVI Company Number 2202589)
Registration information available upon request