What Jobs are available for Quantitative Analysis in Hong Kong?

The Prime Financing QR team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to help the Prime business thrive.

As a Vice President in the Quantitative Research (QR) for Prime Synthetics business, you will identify opportunities to transform, automate and optimize our trading operations and to define and implement cutting-edge next generation analytics to support this business transformation. We cover Prime Finance and Clearing (PFS) businesses and work closely with traders to develop data-driven solutions such as algorithmic trading signals and strategies, risk models, portfolio optimization – and to combine them into automated trading processes or trading algorithms and integrate them with the whole PFS eco-system.

Communication skills and drive are critical for this role as we expect the candidate to actively engage with the business and act as a culture carrier for modern data-driven methods and business automation.

Job responsibilities:

• Work closely with Prime Synthetics Trading desks to build analytics and data-driven processes that automate and optimize risk and inventory trading quantitatively. This includes: alpha research for portfolio optimization, risk hedging and client analytics
• Build trading analytics and algorithmic trading strategies such as portfolio optimization, inventory trading strategies, risk hedging strategies for the Synthetics trading desks.
• Identify business opportunities and contribute to the entire lifecycle from idea generation to production: perform research, design prototype, implement analytics and strategies, monitor daily usage and analyze performance
• Support trading activity by investigating model and algorithm behavior (scenarios and post trade analysis, historical behavior)
• Devise hedging and trading strategies and build execution logic

Required Qualifications, Capabilities and Skills

• PhD or Master's Degree in a quantitative discipline from a top-tier institution
• Experience in systematic quantitative trading in Equity or related asset classes
• Strong written and verbal communication skills, ability to convey the ideas behind complex research in a clear and precise manner
• A thorough understanding of algorithmic trading and knowledge of Delta 1 & Equity Derivatives product
• Good expertise in statistical modelling & optimization, including standard models, linear, convex & conic optimization)
• A strong coding background with proficiency in Python and relevant quantitative packages (numpy, pandas). Ability to manipulate and analyze complex, large scale, high-dimensionality data from multiple sources. Knowledge of KDB/Q expected.

Preferred Qualifications  Capabilities and Skills

• Experience with Machine Learning modelling is a plus.

JOB DESCRIPTION

The Prime Financing QR team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to help the Prime business thrive.

As a Vice President in the Quantitative Research (QR) for Prime Synthetics business, you will identify opportunities to transform, automate and optimize our trading operations and to define and implement cutting-edge next generation analytics to support this business transformation. We cover Prime Finance and Clearing (PFS) businesses and work closely with traders to develop data-driven solutions such as algorithmic trading signals and strategies, risk models, portfolio optimization – and to combine them into automated trading processes or trading algorithms and integrate them with the whole PFS eco-system.

Communication skills and drive are critical for this role as we expect the candidate to actively engage with the business and act as a culture carrier for modern data-driven methods and business automation.

Job responsibilities:

• Work closely with Prime Synthetics Trading desks to build analytics and data-driven processes that automate and optimize risk and inventory trading quantitatively. This includes: alpha research for portfolio optimization, risk hedging and client analytics
• Build trading analytics and algorithmic trading strategies such as portfolio optimization, inventory trading strategies, risk hedging strategies for the Synthetics trading desks.
• Identify business opportunities and contribute to the entire lifecycle from idea generation to production: perform research, design prototype, implement analytics and strategies, monitor daily usage and analyze performance
• Support trading activity by investigating model and algorithm behavior (scenarios and post trade analysis, historical behavior)
• Devise hedging and trading strategies and build execution logic

Required Qualifications, Capabilities and Skills

• PhD or Master's Degree in a quantitative discipline from a top-tier institution
• Experience in systematic quantitative trading in Equity or related asset classes
• Strong written and verbal communication skills, ability to convey the ideas behind complex research in a clear and precise manner
• A thorough understanding of algorithmic trading and knowledge of Delta 1 & Equity Derivatives product
• Good expertise in statistical modelling & optimization, including standard models, linear, convex & conic optimization)
• A strong coding background with proficiency in Python and relevant quantitative packages (numpy, pandas). Ability to manipulate and analyze complex, large scale, high-dimensionality data from multiple sources. Knowledge of KDB/Q expected.

Preferred Qualifications Capabilities and Skills

• Experience with Machine Learning modelling is a plus.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Our Client is a market leading innovative technology house that has operations in all continents round the globe. They are a renowned global employer of choice that provides one of the greatest working environments available in technology combined with the financial benefits of working in and around trading. Drive innovation in systematic investing by developing high-quality predictive signals using advanced data science, machine learning, and statistical techniques across global markets within a collaborative, technology-driven research environment.

What You'll Do:

• Lead the full research cycle from signal generation to live implementation.
• Discover and model statistical patterns in large, diverse datasets.
• Design and deploy predictive models to identify trading opportunities.
• Collaborate globally with technologists, data scientists, and traders.
• Monitor and refine signal performance to ensure long-term reliability.

Your Responsibilities Will Include:

• Applying advanced statistical, machine learning, and quantitative methods to financial data.
• Conducting rigorous research to enhance existing systematic strategies.
• Building scalable, production-ready code in Python, R, Matlab, C++, or C#.
• Exploring new datasets and integrating insights into a global execution platform.
• Sharing research findings and methodologies within a collaborative, cross-functional team.

Why Join Us:

• Work in a data- and technology-driven environment that values creativity and scientific thinking.
• Tackle complex, real-world problems using cutting-edge research and innovation.
• Collaborate with world-class experts across research, engineering, and trading.
• Enjoy a culture that promotes diversity, respect, and work-life balance.

About You:

• Experienced quantitative researcher, trader, or data scientist with a strong academic foundation in a quantitative field.
• Skilled in statistics, machine learning, or AI with hands-on coding expertise.
• Passionate about uncovering patterns in complex data and delivering measurable results.
• Analytical, detail-oriented, and comfortable working both independently and collaboratively.

Join a team where curiosity meets precision — and where your research has direct impact on global financial markets. Bring your expertise, creativity, and drive to shape the future of systematic investing.

Our client is a leading properties developer, leveraging big data for strategic growth in Hong Kong and China. We are looking for a Research & Analytics Manager to lead quantitative market intelligence. 

Responsibilities:

• Manage market research projects focused on customer behaviors and market trends in Hong Kong and Mainland China.
• Define research scope, prepare proposals, and design questionnaires and interview formats.
• Conduct fieldwork and analyze data from various sources to derive actionable insights.
• Write research proposals and analytical reports for stakeholders.
• Ensure dataset accuracy and develop efficient data analysis methodologies.
• Collaborate with internal teams and external vendors to meet project requirements.
• Perform ad-hoc tasks and special projects as needed.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, or related field.
• 10+ years of market research experience in Hong Kong and/or Mainland China.
• Proficient in SPSS, MS Excel, and PowerPoint; knowledge of VBA/SQL and BI tools is a plus.
• Strong analytical, business acumen, and communication skills; fluent in English and Putonghua.
• Ability to work independently, meet deadlines, and travel for fieldwork

Job Responsibilities

1. Assist in building data models and the company's data platform, optimizing analysis processes, and promoting data standardization.
2. Perform data analysis and reporting to support product strategy and customer management.
3. Responsible for the collection, analysis, and maintenance of product-related data.

Job Requirements

1. 1-3 years of work experience; master's degree or above.
2. Strong data analysis and processing skills, proficient in using common data analysis tools such as SQL and Python.
3. Clear thinking, logical rigor, attention to detail, strong sense of responsibility, and strong data insight ability.

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

This role will serve as a key business partner to department heads, providing critical financial insights and analysis to support the formulation of sound financial and operational decisions. Responsible for budgeting, forecasting, long-range planning, management reporting, and variance analysis, the role requires translating data into actionable decision references to support the company in achieving its growth and profitability goals.

1. Planning & Forecasting

• Collaborate with department heads to advance the annual budgeting process and quarterly forecasting work, and participate in cross-departmental coordination and communication.
• Develop and maintain basic financial models to provide data support for strategic initiatives, scenario planning, and new business opportunities.

2. Management Reporting & Analysis

• Create dashboards and data visualizations to clearly convey core financial information to stakeholders without a financial background.
• Prepare and promptly distribute monthly, quarterly, and annual management reports, and clearly explain variances between budget, forecast, and prior-year data.
• Analyze key performance indicators (KPIs), financial trends, and operational metrics to assist in identifying potential risks and opportunities.

3. Financial System Support for Business

• Assist in designing or maintaining Enterprise Resource Planning (ERP) and financial systems tailored to economics, covering: Revenue tracking; Cost allocation; Hashpower sales.
• Support the integration of wallet systems and exchange data feeds to facilitate real-time synchronization of financial data. Assist in implementing dynamic cost accounting and participate in the optimization of relevant processes.
• Support the development of real-time dashboards for the Chief Financial Officer (CFO) and executive team, and organize data such as hashpower revenue, power efficiency, and profit and loss statements.

4. Tax Compliance

• Assist in formulating tax planning strategies to help reduce the company's tax burden while ensuring compliance with applicable laws and regulations.
• Identify tax-saving opportunities and propose preliminary recommendations, such as the application of tax-optimized transaction structures, tax credits, and preferential policies.
• Assist in preparing and filing local tax returns (including but not limited to corporate income tax returns) to ensure accuracy and timely submission.

• Bachelor's degree in Finance, Accounting, Economics, or a related field.
• Minimum of 3-4 years of experience in the accounting field, with relevant experience in general ledger accounting, financial reporting, or financial planning & analysis (FP&A).
• Basic analytical and problem-solving skills, with the ability to interpret financial data and provide basic reference insights.
• Basic understanding of the Web 3.0 industry or willingness to learn proactively, along with an open work attitude.
• Proficiency in financial modeling and Excel operations (pivot tables, lookup functions, common formulas).
• Ability to handle multiple tasks in a fast-paced environment and possess basic priority management skills.
• Priority will be given to candidates with experience in using ERP systems (e.g., NetSuite, SAP, Oracle) or FP&A software (e.g., Adaptive Insights, Hyperion, Anaplan).
• Priority will be given to candidates holding professional qualifications such as Chartered Financial Analyst (CFA), Certified Management Accountant (CMA), or Certified Public Accountant (CPA).

该岗位将作为部门负责人的重要业务伙伴,提供关键财务洞见与分析,辅助制定合理的财务及运营决策。该岗位负责预算编制、预测、长期规划、管理报告及差异分析工作,需能将数据转化为可落地的决策参考,支持公司达成增长及盈利目标。

一、规划与预测

配合部门负责人推进年度预算编制流程及季度预测工作,参与跨部门协同沟通。搭建并维护基础财务模型,为战略举措、情景规划及新业务机会提供数据支持。

二、管理报告与分析

• 制作仪表盘及数据可视化内容,向非财务背景相关方清晰传递核心财务信息。
• 编制并及时分发月度、季度及年度管理报告,对预算、预测与上年数据的差异进行清晰说明。
• 分析关键绩效指标(KPI)、财务趋势及运营指标,协助识别潜在风险与机遇。

三、财务系统支持

• 协助设计或维护符合经济特性的企业资源计划(ERP)及财务系统,涉及:
• 收入追踪;成本分摊;算力销售。配合完成钱包系统及交易所数据馈送的整合,助力财务数据实时同步。协助实施动态成本核算,参与相关流程优化。
• 支持为首席财务官(CFO)及高管团队搭建实时仪表盘,整理算力收入、电力效率、利润表等数据。

四、税务合规

• 协助制定税务规划策略,在符合相关法律法规的前提下,助力降低公司税务负担。
• 发掘节税机会并提出初步建议,如税务优化的交易结构、税收抵免与优惠政策的应用等。
• 协助编制并申报地方税纳税申报表(包括但不限于企业所得税申报表),确保数据准确、按时提交。

• 拥有金融学、会计学、经济学或相关专业学士学位。
• 至少 3-4 年会计领域工作经验,具备总账会计、财务报告或财务规划与分析相关经验。
• 具备基础分析与问题解决能力,能够解读财务数据并提供基础参考洞见。
• 对 Web 3.0 行业有初步了解或愿意主动学习,具备开放的工作态度。
• 熟练掌握财务建模及 Excel 操作(数据透视表、查找函数、常用公式)。
• 能够在快节奏环境中处理多项任务,具备基础的优先级管理能力。
• 有 ERP 系统(如 NetSuite、SAP、Oracle)或 FP&A 软件(如 Adaptive Insights、Hyperion、Anaplan)使用经验者优先。
• 持有特许金融分析师(CFA)、注册管理会计师(CMA)或注册会计师(CPA)等专业资格证书者优先。

PRIMARY RESPONSIBILITIES:

• Lead weekly/monthly/quarterly planning and forecasting submissions as well assist in coordinating key planning cycles – Long Range Plan, Operating Plan, and key estimates on volume and seasonality;

• Lead the planned implementation of financial reporting and budgeting system.

• Ability to develop and maintain complex financial models, including NPV, ROI, scenarios analysis.

• Analyze Budget/Forecast variances to Actual and review with management team

• Provide management with insights into drivers of financial forecast, risks, and opportunities;

• Audit and review of financial models to ensure they are both accurate and updated to reflect changing business needs

• Additional responsibilities include ensuring that the various reporting systems and source data are accurate and reconciled

•assist in the development and implementation of tools, systems, and processes to support the successful completion of timely and accurate forecasts. An understanding of accounting theory and practice (e.g. basic revenue recognition rules, company capitalization policies and proper expense timing) is required.

• Assist with various management presentations.

REQUIREMENTS:

• 8-10 years of financial analysis experience in a high growth fast pace environment with demonstrated career advancement

• Analytical background working directly in an FP&A environment modeling bookings, revenue, costs and expenses preferably for consumer mobile/consumer internet business, consulting or advisory background will also be considered

• Ability to build finance-focused dashboards in Power BI, leveraging Python and SQL for data preparation and analysis. Experience working with structured economic datasets or proprietary databases

•Executive Communication & Visual Storytelling: Strong ability to design and build impactful PowerPoint presentations that convey complex information through clear, compelling visual narratives. Skilled in tailoring messages for senior management audiences, with a focus on clarity, strategic insight, and executive-level relevance

• Resume must reflect ability for critical thinking demonstrated by examples of specific projects and related outcomes