What Jobs are available for Quantitative Analyst in Hong Kong?

Job Description

• Assist with data handling and analysis of financial datasets.

• Assist with developing and maintaining algorithmic trading strategies. Utilize backtesting frameworks and validate against historical data.

• Explore the cutting edge FinTech solution empowered by Big Data, artificial intelligence, LLM, and modern financial technologies and tools.

• Design, implement, and formulate financial models for predetermining the financial curves to facilitate financial transactions and portfolio management.

• Remain knowledgeable on Fintech development in the leading areas in industry.

• Coordinate with the supervisors to solicit cooperation and resolve the problems.

• Undertake ad-hoc tasks as assigned from time to time.

Qualifications

• Solid skills and experience with Python.

• Decent knowledge of concurrent financial products, trading strategies, and local and international financial markets.

• Ability to adapt into an evolving and dynamic environment.

• Experience with financial data to conduct data analysis or develop trading strategies is preferred.

• Less experience will be considered as Assistant Quantitative Analyst.

Principal Duties and Responsibilities:

Assist in applying advanced financial concepts and numerical methods to develop financial models and analytical tool

Assist in implementation and maintenance of quantitative trading process

Manage and analyze large, complex data sets using a variety of statistical tools and techniques

Using the database, responsible in managing routine reports to the local management (daily/weekly/monthly) as well as regional office to provide clear and concise brand performance evaluation in order to drive business decisions and communicate clearly the outcomes/potential implications.

Keep abreast of developments in quantitative risk management

Recruitment Requirements:

Degrees in engineering, mathematics, finance or computing are highly desirable

Working on projects across the financial analytics lifecycle including origination, maintenance and collections

Knowledge in analytics and decision science theories including regression techniques, classification, time series forecasting, neural nets, segmentation, cluster analysis, etc.

Strong programming skills in VBA, Java and/or C++, SQL Server and knowledge of MS Excel are highly desirable

Familiarity with technology and comfort in using it to find innovative and efficient solutions to analytical problems

Good interpersonal and communication skills

Good command of English, Cantonese and Mandarin

Working experience in the financial services industry not necessary but preferable

A competitive remuneration package including 5-day work, annual leave, medical benefits, performance bonus and rewarding development opportunities will be offered to the right candidate.

Please send your application letter, CV, current and expected salary to (email redacted, apply via Company website) or (via CTgoodjobs Apply Now)

Full-time

About the job:

• Develop and test quantitative models for investment strategies and portfolio optimization.
• Build and maintain statistical models for forecasting the performance of investments, assets, and portfolios.
• Develop analytics on a variety of investment data sets to identify trends.
• Develop and maintain databases and data pipelines for investment data.Conduct research on current market trends.
• Assist with the integration of new data sources as they become available.
• Assist in monitoring investment performance, and provide recommendations for improvement.

About You:

• Undergraduate Students in Finance / Quantitative Finance / FinTech / Risk Management / Statistics & Actuarial Science / Physics / Mathematics / Computer Sciences or related discipline.
• Proficiency in programming languages such as Python and RExcellent problem-solving and critical thinking skills.
• Strong attention to quality and accuracy while working with large, complex investment datasets.
• Strong communication and teamwork skills

The Client

My client is a leading FinTech business delivering technology and investment management infrastructure services to some of the world's leading hedge funds and asset managers.

They are looking for a C++ or C# focused Quantitative Analyst / Developer with strong Interest Rate Derivatives knowledge to join their Quantitative Analytics & Development team based in Hong Kong.

What You'll Get

• An opportunity to be part of one of the most exciting buy-side FinTech businesses in the world with a clear goal to become the first choice trading technology provider with asset managers and financial institutions alike, across the derivatives markets.

• There is a high talent density and as such you will be working with top performers from across the industry with exceptional mentoring and opportunities to learn and develop your skills.

• They pay market leading compensation, including an annual discretionary bonus, with ongoing opportunities for financial advancement.

• They offer benefits including pension contribution, healthcare, life insurance, 26 days holiday, 10 further days remote working from anywhere in the world and hybrid working.

What You'll Do

• The successful candidate will join the Quantitative Analytics & Development team and is expected to contribute to the development and enhancement of new and existing models and analytics in the core Quant Analytics library (written in C++).

• Furthermore, the role will entail the implementation of new and existing models into the core platform, and building new features in the platform (written in C#) and occasional enhancement of front office tools (written in Python).

• At the same time, the successful candidate is expected to provide ongoing support to clients across all asset classes (especially Rates, but also FX, Equities, Credit and Commodities), and maintenance of existing BAU systems and processes.

What You'll Need

• Experience working as a Quantitative Analyst or Quantitative Developer in a front office trading environment.
• Strong knowledge of Interest Rate Derivatives products and models, including experience of building yield curves.
• Strong C++ or C# development ability.
• Experience supporting a live production environment and models.
• Experience of Python is beneficial but not essential.

Our client is seeking a highly analytical professional to join their team as a Market Research & Data Analyst. This role combines comprehensive market research capabilities with advanced data analytics to drive strategic business decisions and identify growth opportunities across key markets.

Education & Experience

• Bachelor's degree in data analysis, statistics, mathematics, data science, computer science, quantitative analysis, marketing, or related discipline.
• 4-6 years of demonstrated experience in data analysis, analytics, and market research, with specific focus on Hong Kong & China markets
• Proven track record in conducting market research and customer analytics in competitive business environments

Technical Skills

• Advanced proficiency with SPSS, Microsoft Excel, and PowerPoint for data analysis and presentation
• VBA and/or SQL programming skills preferred for data manipulation and automation
• Working knowledge of statistical analysis tools or business intelligence platforms (such as Tableau, Power BI) will be considered advantageous
• Familiarity with R or Python programming languages is a plus for advanced analytics capabilities

Market & Customer Research

• Design and execute comprehensive market research studies, customer surveys, and data analysis projects
• Conduct in-depth analysis of property markets, retail sectors, and other business verticals to understand market sentiment and dynamics
• Analyze customer behaviors, preferences, and needs to identify strategic improvement opportunities
• Monitor market trends and competitive landscape to inform strategic decision-making

Data Analytics & Methodology Development

• Develop robust data analysis methodologies and analytics frameworks for business intelligence
• Define and document user requirements for property database development and enhancement
• Design and implement data analysis automation processes to improve efficiency and accuracy
• Execute advanced statistical analysis to derive meaningful insights from complex datasets

Click "Apply * *Now* *" to apply for this position or call Martin Tsang at for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.

The Client

My client is a leading FinTech business delivering technology and investment management infrastructure services to some of the world's leading hedge funds and asset managers.

They are looking for a C++ focused Quantitative Analyst with strong Interest Rate Derivatives knowledge to join their Quantitative Analytics & Development team based in Hong Kong.

What You'll Get

• An opportunity to be part of one of the most exciting buy-side FinTech businesses in the world with a clear goal to become the first choice trading technology provider with asset managers and financial institutions alike, across the derivatives markets.

• There is a high talent density and as such you will be working with top performers from across the industry with exceptional mentoring and opportunities to learn and develop your skills.

• They pay market leading compensation, including an annual discretionary bonus, with ongoing opportunities for financial advancement.

• They offer benefits including pension contribution, healthcare, life insurance, 26 days holiday, 10 further days remote working from anywhere in the world and hybrid working.

What You'll Do

• The successful candidate will join the Quantitative Analytics & Development team and is expected to contribute to the development and enhancement of new and existing models and analytics in the core Quant Analytics library (written in C++).

• Furthermore, the role will entail the implementation of new and existing models into the core platform (written in C#) and occasional enhancement of front office tools (written in Python).

• At the same time, the successful candidate is expected to provide ongoing support to clients across all asset classes (especially Rates, but also FX, Equities, Credit and Commodities), and maintenance of existing BAU systems and processes.

What You'll Need

• Experience working as a Quantitative Analyst or Developer in a front office trading environment.
• Strong knowledge of Interest Rate Derivatives products and models, including experience of building yield curves.
• Strong C++ development ability.
• Experience supporting a live production environment and models.
• Experience of C# and Python is beneficial but not essential.

The Laboratory for AI-Powered Financial Technologies Limited (AIFT) aims to be a leading research center on the financial technologies and services. We are seeking for Quantitative Analystto assist building the financial tools and creation of financial products, conduct risk assessment and valuation for financial securities, by utilizing FinTech.

Key Accountabilities

• Develop and maintain trading strategies to assist clients in making investment decisions.
• Explore the cutting edge FinTech solution empowered by Big Data, artificial intelligence and modern financial technologies and tools.
• Design, implement, and formulate financial models for predetermining the financial curves to facilitate financial transactions and portfolio management.
• Identify and resolving technical and research-related issues together with other experts in the Lab.
• Support commercialization activities by formulating analytics solution and demonstrate modeling work.
• Remain knowledgeable on Fintech development in the leading areas in industry.
• Coordinate with the supervisors to solicit cooperation and resolve the problems.

Qualification / Knowledge & Experience

• Bachelor's Degree with specialization in Finance, Operations Research, Applied Mathematics, Mathematics or Computer Science from a recognized institute/ university.
• Solid skills and experience with Python.
• Decent knowledge of concurrent financial products, trading strategies, local and international financial markets.
• Good understanding of how techniques assisting decision-making process works in a financial institution to support investment and trading strategies.
• Ability to adapt into an evolving and dynamic environment.
• Motivated to play a role in building analytics capabilities from scratch.
• Experience with financial data to conduct data analysis or develop trading strategies is preferred.
• Excellent verbal and written communication skills in English and Chinese.
• Fresh graduates with keen interest in financial markets are welcome.

Salary offered will be highly competitive, commensurate with qualifications and experience. Fringe benefits will be provided.

All information will be treated in strict CONFIDENTIAL and will be only used for this recruitment.

About the job:

• Develop and test quantitative models for investment strategies and portfolio optimization.
• Build and maintain statistical models for forecasting the performance of investments, assets, and portfolios.
• Develop analytics on a variety of investment data sets to identify trends.
• Develop and maintain databases and data pipelines for investment data.Conduct research on current market trends.
• Assist with the integration of new data sources as they become available.
• Assist in monitoring investment performance, and provide recommendations for improvement.

About You:

• Undergraduate Students in Finance / Quantitative Finance / FinTech / Risk Management / Statistics & Actuarial Science / Physics / Mathematics / Computer Sciences or related discipline.
• Proficiency in programming languages such as Python and RExcellent problem-solving and critical thinking skills.
• Strong attention to quality and accuracy while working with large, complex investment datasets.
• Strong communication and teamwork skills

Key Responsibilities:

• Develop and implement quantitative models to analyze financial data and identify investment opportunities.

• Perform statistical analysis and data mining on large datasets to uncover trends and patterns.

• Collaborate with portfolio managers and traders to refine trading strategies and risk management practices.

• Conduct backtesting and validation of quantitative models to assess performance and robustness.

• Utilize programming languages (e.g., Python, R, SQL) to automate data processing and analysis tasks.

• Present findings and recommendations to stakeholders, ensuring clarity and actionable insights.

Qualifications:

• Bachelor's or Master's degree in Finance, Mathematics, Statistics, Computer Science, or a related field; Ph.D. preferred.

• 3+ years of experience in quantitative analysis, research, or data science, preferably within the finance or hedge fund industry.

• Strong programming skills in Python, R, or similar languages; experience with data visualization tools is a plus.

• Proficient in statistical methods, machine learning techniques, and financial modeling.

• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.