Data Analyst

A well-established international asset management firm which is one of the major institutional investors in the global financial markets and one of the biggest funds by AUM in Hong Kong. We invest in a wide range of products with an international dimension. We are now looking for high caliber candidates who would like to share our commitment and professional values. We offer competitive remuneration package and a commitment to training and continual professional development. About the job The sy

SAFE Investment - Hong Kong - Full time

Salary: Competitive

A well-established international asset management firm which is one of the major institutional investors in the global financial markets and one of the biggest funds by AUM in Hong Kong. We invest in a wide range of products with an international dimension. We are now looking for high caliber candidates who would like to share our commitment and professional values. We offer competitive remuneration package and a commitment to training and continual professional development.

About the job

The systematic data analyst sits within the systematic investing group, which consists of quantitative analysts and systematic PMs. As a Data Analyst, you will play a crucial role in managing and maintaining critical datasets that are essential to the teams investment workflow.

This is an opportunity for individuals who are passionate about data and quantitative investing. The role builds on individuals knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets.

Principal Responsibilities

    • Efficiently monitor daily data generation process across various systems, ensuring accuracy, completeness, and timeliness
    • Research potential alpha sources, and present to portfolio managers
    • Build technology tools to acquire dataset from public sources
    • Engage with vendors, brokers to understand characteristics of datasets
    • Interact with portfolio managers to understand their use cases and recommend datasets to help maximize their profitability
    • Analyze datasets to generate key descriptive statistics

Qualifications/Skills Required

    • Ph.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis
    • 3 - 5 years of financial industry experience preferred
    • Programming expertise in Python and SQL
    • Experience in NLP, Web scraping and alternative data is preferred

We offer an attractive remuneration with excellent opportunities to the right candidate. Interested parties please apply with detailed resume. (All personal information received will be kept in strictly confidential and only for recruitment purpose only.)

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