A&P成立於2023年，作為澳門首家獲許可開設的投資基金管理公司，我們一直致力於制定本地基金行業標準，凝聚和培養本地優秀人才，憑籍豐厚的專業知識，為本地客戶提供高品質財富增值服務。

我們一向秉持著公司創始人所倡導的“安全、穩健、戰略性”三大核心理念：以資本保值為優先，研究和資訊技術為基礎，恪守嚴格的價值分析和資產分配原則，在保障資本安全下聚焦於穩定妥善的戰略投資，努力投入到風險管理最理想的回報組合。

Founded in 2023, A&P is establishing the standards of the Fund Industry in Macau by being the first licensed Investment Fund Management Company, contributing to our vision of local talent managing our own financial solutions.

Our core principles emanate always from our philosophy expounded by the founders for Safe, Sound, and Strategic: Prioritizing capital preservation, we focus on sound and strategic investments based on rigorous value analysis and capital allocation principles, for once security of capital is ensured, we then channel our efforts into the best risk-return profiles.

General Manager Sales Marketing

Role Description

This is a full-time on-site role as a General Manager Sales Marketing located in Macao SAR. The General Manager Sales Marketing will be responsible for customer satisfaction, general management, sales, customer service, and team management on a day-to-day basis.

Qualifications

At least 5 years experience in the industry
Customer Satisfaction and Customer Service skills
General Management and Team Management skills
Sales skills
Proven track record of leadership in a sales and marketing environment
Excellent communication and interpersonal skills
Bachelor's degree in Business Administration or related field

Operation Manager/Assistant Manager

Role Description

This is a full-time on-site Operations Manager role located in Macao SAR. The Operations Manager will be responsible for overseeing daily operations, managing staff, optimizing processes, and ensuring compliance with regulations. They will also be involved in strategic planning and decision-making to support the company's financial goals.

Qualifications

3-5 years of related experience
Operations Management and Strategic Planning skills
Strong leadership and team management skills
Knowledge of financial regulations and compliance
Experience in the investment fund industry
Excellent communication and interpersonal skills
Ability to analyze data and make informed decisions
Bachelor's degree in Finance, Business Administration, or related field

Security Automation Engineer

Department: IT

Experience: 2+ years in software development or cybersecurity roles

Position Summary

We seek a Python-focused Security Automation Engineer to design tools that streamline workflows, oversee IT infrastructure to ensure compliance with security standards, and act as a liaison with regulators for cybersecurity reporting. This role emphasizes software development (50%), IT infrastructure management (30%), and security operations (20%). The ideal candidate will automate recurrent tasks, maintain secure IT systems, and proactively address vulnerabilities.

Key Responsibilities

Automation & Tool Development:
- Build Python scripts to automate security and IT tasks (e.g., data collection/analysis, compliance reporting, patch deployment).
- Develop internal tools (e.g., asset inventory systems, password rotation utilities).
IT Infrastructure Ownership:
- Manage and secure IT systems: Configure firewalls, endpoint protection (EDR), and network devices.
- Enforce security policies: Ensure systems comply with standards (e.g., NIST, GDPR) through regular audits.
- Provide hands-on support: Troubleshoot hardware/software issues, maintain backups, and implement access controls.
Cybersecurity Support:
- Monitor networks for threats using SIEM tools (e.g., Splunk, Elastic search).
- Conduct vulnerability scans (Nessus, OpenVAS) and prioritize remediation.
- Assist in incident response and post-breach forensic analysis.
- Regulatory Liaison:
  - Prepare and submit compliance reports to regulators
  - Respond to regulatory inquiries and coordinate audits/inspections.
  - Maintain up-to-date documentation for compliance verification.

Qualifications

Must-Have:
- Bachelor’s degree in Computer Science, IT, or related field.
- 3+ years of advanced Python programming (libraries: Pandas, Requests, Paramiko).
- IT infrastructure management: Hands-on experience with Windows environments, networking (TCP/IP, DNS), and security tools (firewalls, EDR).
- Security-first mindset: Ability to align IT configurations with cybersecurity requirements.
Language Requirements: Cantonese (proficient), English (working level).
Technical Skills:
- Version control (Git), CI/CD tools (Jenkins, GitHub Actions).
- Security frameworks: NIST, ISO 27001, or ASD Essential Eight.
- Basic cloud security (AWS preferred).
Preferred Certifications
IT & Automation:
- Microsoft Certified: Azure Administrator (Windows focus) | Python Institute PCAP.
Cybersecurity:
- CompTIA Security+ | eLearn Security eJPT | ISACA CSX-P.
Bonus Qualifications:
- OSCP, CISSP, or AWS Security Specialty (training provided)
Why This Role?
- Own IT and security: Directly shape secure infrastructure while building automation tools.
- Career growth: Transition into senior DevOps or cybersecurity roles.
- Certification support: Funding for OSCP, AWS, or SANS courses.

Apply Now: Submit your resume, a Python script sample (GitHub link), and examples of IT security projects.

Interested parties please apply via: recruitment@apfund.mo

Data Scientist

Department: Investment Research and Intelligence

Job Description: The Data Scientist will collaborate with fundamental and technical analysts to deliver data-driven insights that enhance our investment decision-making process.

Key Responsibilities:

Collaborate with investment teams to understand their data and analysis needs.
Extract, pre-process, and clean data from a variety of sources, ensuring its reliability and accuracy.
Implement and validate predictive models; continuously monitor and refine them as needed.
Conduct exploratory data analysis to identify trends, anomalies, and patterns relevant for investment decision-making through statistical techniques.
Integrate data science models into investment systems and platforms.
Generate data visualizations and reports to explain findings clearly to non-technical stakeholders.
Stay updated with the latest data science techniques and best practices, especially those relevant to the finance secto.
Apply both frequentist and Bayesian methodologies in data analysis.
Utilize stochastic methods in modeling and analysis.
Work alongside senior analysts to implement advanced analytical methods.
Assist with general IT support at the office, ensuring that systems are operational and addressing technical issues.

Skill & Qualifications:

Language Proficiency: Fluency in English is a must.
Education:
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Finance, or a related quantitative field.
- Modules or coursework related to Finance are a significant plus. A Master's degree in a related field is also a plus.
Technical Proficiency:
- Proficiency with data science tools and platforms like Python, R, SQL, MATLAB, and associated data science libraries (e.g., pandas, scikit-learn, TensorFlow).
- Experience or familiarity with software tools lie Oracle's Crystal Ball, or Lumivero's @Risk is a plus.
Data Management:
- Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
Statistical Analysis:
- Knowledge of statistics and experience using statistical package for analyzing datasets (Excel, SPSS, SAS).
- Proficiency in uncertainty and time series analysis.
- Proficiency with both frequentist and Bayesian methodologies.
- Experience with stochastic methods in modeling and analysis.
Machine Learning:
- Understanding of machine learning algorithms and principles.
Data Visualization:
- Proficiency with visualization tools like Tableau, PowerBI, Matplotlib, or Seaborn.
Domain Knowledge:
- Basic understanding of finance and investment principles. Experience in the finance sector is a plus.
Teamwork:
- Ability to work collaboratively with diverse teams, including technical and non-technical members.
Problem-solving:
- Analytical and critical thinking skills with a passion for solving complex problems.
Communication:
- Strong verbal and written communication skills to present findings and insights to stakeholders.