Python Data Developer (Quantitative Operations) - J12476

We are seeking a highly motivated Python Data Developer (Quantitative Operations) to join the firm's Hong Kong-based team. This is a unique opportunity for a junior data professional to step into a high-ownership role, acting as a primary technical partner for the Global Operations and Business Management teams. You will be designing and building the critical data pipelines and automation frameworks that ensure the firm’s operational accuracy. Please note: This is an operations technology and da

Pinpoint Asia - Hong Kong - Full time

Salary: HK$50k - HK$70k per month + Performance Bonus & Medical

We are seeking a highly motivated Python Data Developer (Quantitative Operations) to join the firm's Hong Kong-based team. This is a unique opportunity for a junior data professional to step into a high-ownership role, acting as a primary technical partner for the Global Operations and Business Management teams.

You will be designing and building the critical data pipelines and automation frameworks that ensure the firms operational accuracy. Please note: This is an operations technology and data automation role, not an AI, Machine Learning, or low-latency C++ infrastructure position.

Key Responsibilities

  • Strategic Partnership: Act as the trusted technical partner for the Business Operations teams, translating daily operational bottlenecks into robust Python solutions.
  • Data Pipelines & ETL: Build, maintain, and scale data extraction and transformation pipelines connecting to various financial APIs and internal databases.
  • Reconciliation Automation: Design Python/Pandas scripts to replace manual Excel-based workflows, ensuring 100% data accuracy between internal systems and external prime brokers.
  • Platform Evolution: Contribute new features to the firms internal web application suite, creating high-impact reports and automated monitoring dashboards.

Your Profile

  • Experience: 1–3 years of professional experience, ideally within Trade Support, Middle Office Technology, or Operations Data Engineering at a financial institution.
  • Tech Stack: Expert proficiency in Python is a must, specifically for heavy data manipulation using Pandas and Numpy.
  • Data Skills: Strong understanding of SQL , database management, and building ETL pipelines.
  • Problem Solver: A highly pragmatic individual who enjoys troubleshooting complex data breaks and delivering immediate business value.
  • Education: Degree in Computer Science, Data Science, Finance, or a related quantitative field.

If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Cherise Wong at resume@pinpointasia.com and put Python Data Developer (Quantitative Operations) - J12476 in the subject header.

Data provided is for recruitment purposes only.

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We are a team of specialist tech recruiters (many of our recruiters come from an IT background) and we serve a wide range of clients, all the way from tech startups (especially FinTech) to some of the top Financial Institutions on Wall Street and several other large scale enterprises in other industries.

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To see all our open jobs please reach out to us at https://pinpointasia.com/job-search/ (EA License #79256)

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