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Polymer Capital Hong Kong

Market-neutral, multi-manager investment platform in Asia

Data Engineer - Analyst, Risk & Quant Analytics

Data EngineeringConfirmed live in the last 24 hours
Full-timeTaipei City, TaiwanNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Electronic Engineering, Data Engineering, or a related technical discipline is required.
  • At least 3 years of experience in data engineering is required; experience in hedge funds, asset management, or financial services is preferred.
  • Strong Python programming skills and proficiency in at least one statically typed programming language such as Java or C# are required.
  • Hands-on experience with AWS-based data platforms and services, particularly S3, is required.
  • Strong experience with Apache Airflow for workflow orchestration and scheduling is required.
  • Experience with modern data storage formats and table formats, including Parquet and Apache Iceberg, is required.
  • A solid understanding of OLTP and OLAP database architectures and data modeling principles is required.
  • Experience designing, building, and maintaining scalable data processing pipelines, including monitoring, alerting, troubleshooting, and recovery processes, is required.
  • Experience optimizing system performance, reliability, and operational stability in production environments is required.
  • Strong knowledge of PostgreSQL, including database design, performance tuning, and operational best practices, is required.
  • Familiarity with distributed and parallel computing concepts and frameworks is required.
  • Familiarity with Apache data technologies such as Spark and Kafka is required.
  • Curiosity about financial markets and the ability to apply business context when designing and managing data solutions are required.
  • Excellent communication, presentation, and interpersonal skills are required.
  • A keen interest in and understanding of financial markets and hedge fund strategies are required.

Responsibilities

  • Engage with various data vendors, design and implement data pipelines, and ensure data quality and security.
  • Support the data infrastructure and pipelines of the fund.
  • Design data pipelines to process internal and external data according to its nature and the needs of internal users.
  • Ensure data pipeline and storage solutions are performant and scalable.
  • Implement automated data quality checks and an alert system to monitor and troubleshoot data issues.
  • Provide access control and usage audit solutions to ensure data security and compliance.
  • Research and evaluate data-related technologies and tools to keep the data platform updated and competitive.
  • Collaborate with investment and trading teams to understand their data needs and provide relevant and timely data access and delivery.

Desired Qualifications

  • Experience with KDB+, StarRocks, or other specialized analytical databases.
  • Experience working with real-time or streaming data processing systems.
  • Experience conducting or supporting market microstructure and Level 2 (order book) data research.
  • Experience building or maintaining alpha feature libraries, quantitative research datasets, or backtesting platforms.
  • Experience developing internal web consoles, operational dashboards, or self-service data platforms.
  • Experience working closely with quantitative researchers, portfolio managers, or trading teams.
  • Experience with storage cost optimization and high-availability data infrastructure.
  • Experience in hedge funds, asset management, or financial services.

About the Company

Polymer Capital Hong Kong

Market-neutral, multi-manager investment platform in Asia

Polymer Capital Management operates as a market-neutral, multi-manager investment platform focused on Asia, backed by institutional support and PAG since 2019. It pools capital across multiple managers and strategies to achieve market-neutral exposures, aiming to diversify risk while pursuing Asia-focused opportunities. The setup blends a regional focus with a disciplined, multi-manager framework and strong PAG backing, plus an emphasis on discovering and developing local investment talent. Its goal is to deliver attractive, risk-adjusted returns for investors by maintaining market neutrality and diversified manager risk within a structured Asia-focused platform.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Hong Kong
Founded
2019

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