Company Description
Bankside Capital is a rapidly growing quantitative fund manager that employs a Dynamic Value Investment Strategy
focused on achieving sustainable, risk-adjusted returns.
By leveraging over 70 years of macroeconomic and market data, our proprietary Macro Models enable portfolio managers to identify and navigate high-risk periods, enhancing returns while mitigating risks. Our Micro Strategy adopts a disciplined value-investing approach, targeting companies with robust competitive advantages and strong growth potential.
If you are a motivated, sharp-minded team player eager to thrive in a high-performance environment, we invite you to join Bankside Capital and help shape the future of global value investing.
Our culture
At Bankside Capital, we cultivate a flexible, high-performance culture where every employee is integral to our rapidly growing fund. We maintain a lean, flat structure that emphasizes trust and collaboration. Our results-driven team prioritizes outcomes over rigid schedules, empowering members to challenge and enhance existing practices, thereby boosting our efficiency. If you aspire to thrive in a dynamic, entrepreneurial environment where your contributions truly make a difference, Bankside Capital is the ideal place for you.
Job Scope
- Refine and enhance Bankside’s proprietary quantitative trading models.
- Apply mathematical and statistical techniques to address practical investment challenges and implement trading algorithms across various asset classes.
- Collaborate with the fund manager and analysts to evaluate trading strategies, market conditions, and system performance.
- Develop tools for data cleaning, processing, and analysis.
- Lead the creation of a technology-driven wealth management platform.
- Oversee trade operations.
Requirements
- Proficiency in Python, C++, or Java
- Hands-on experience with simulation, testing, and statistical modelling techniques (including multivariate regression and time series analysis)
- Strong data mining and analytical skills
- Expertise in data structures
- Familiarity with Linux systems and command-line interfaces
- Proficient in PostgreSQL or MySQL databases
- Collaborative mindset with high motivation and initiative
Education and Experience
- Degree in a quantitative field such as Computer Science, Information Science, or equivalent;
- Relevant professional experiences preferred;
- Bilingual in both English and Mandarin.
Employee Benefits
- Competitive compensation package
- Work-from-home option: 1 day per week
- Comprehensive insurance coverage
- Staff welfare fund
Company Description
Bankside Capital is a rapidly growing quantitative fund manager that employs a Dynamic Value Investment Strategy
focused on achieving sustainable, risk-adjusted returns.
By leveraging over 70 years of macroeconomic and market data, our proprietary Macro Models enable portfolio managers to identify and navigate high-risk periods, enhancing returns while mitigating risks. Our Micro Strategy adopts a disciplined value-investing approach, targeting companies with robust competitive advantages and strong growth potential.
If you are a motivated, sharp-minded team player eager to thrive in a high-performance environment, we invite you to join Bankside Capital and help shape the future of global value investing.
Our culture
At Bankside Capital, we cultivate a flexible, high-performance culture where every employee is integral to our rapidly growing fund. We maintain a lean, flat structure that emphasizes trust and collaboration. Our results-driven team prioritizes outcomes over rigid schedules, empowering members to challenge and enhance existing practices, thereby boosting our efficiency. If you aspire to thrive in a dynamic, entrepreneurial environment where your contributions truly make a difference, Bankside Capital is the ideal place for you.
Job Scope
- Refine and enhance Bankside’s proprietary quantitative trading models.
- Apply mathematical and statistical techniques to address practical investment challenges and implement trading algorithms across various asset classes.
- Collaborate with the fund manager and analysts to evaluate trading strategies, market conditions, and system performance.
- Develop tools for data cleaning, processing, and analysis.
- Lead the creation of a technology-driven wealth management platform.
- Oversee trade operations.
Requirements
- Proficiency in Python, C++, or Java
- Hands-on experience with simulation, testing, and statistical modelling techniques (including multivariate regression and time series analysis)
- Strong data mining and analytical skills
- Expertise in data structures
- Familiarity with Linux systems and command-line interfaces
- Proficient in PostgreSQL or MySQL databases
- Collaborative mindset with high motivation and initiative
Education and Experience
- Degree in a quantitative field such as Computer Science, Information Science, or equivalent;
- Relevant professional experiences preferred;
- Bilingual in both English and Mandarin.
Employee Benefits
- Competitive compensation package
- Work-from-home option: 1 day per week
- Comprehensive insurance coverage
- Staff welfare fund