Advanced Trading Systems Engineer

2 weeks ago

Karachi, Sindh, Pakistan beBee Careers Full time

Quantitative Engineer - Data Science and Trading Infrastructure

We are seeking a highly skilled Quantitative Engineer to join our team. As a key member of our data science and trading infrastructure group, you will be responsible for designing and implementing scalable solutions for ingesting, cleaning, and storing large-scale financial markets data.

You will work closely with our investment team to build tools that support portfolio construction, stress testing, and asset allocation decisions. This includes developing backtesting engines for long/short equity, macro, and digital asset strategies, as well as collaborating with AI/ML engineers and data scientists to integrate models and insights into trading and research workflows.

To succeed in this role, you will need a strong understanding of financial data structures, time series analysis, and asset pricing concepts. Experience handling market data such as equities (OHLCV, fundamentals), crypto, FX, rates, and macro indicators is essential. You should also have a background in systematic investing, quant research, or quant trading infrastructure, and proficiency in Python and common libraries used in quantitative finance.

In addition to your technical skills, you will need excellent problem-solving, documentation, and communication skills to work effectively in a remote team environment. If you are passionate about capital markets and have a strong bias for execution, attention to detail, and a love for clean, scalable code, we encourage you to apply.

Key Responsibilities:

  • Design and implement scalable infrastructure for ingesting, cleaning, and storing large-scale financial markets data
  • Develop backtesting engines for long/short equity, macro, and digital asset strategies
  • Collaborate with AI/ML engineers and data scientists to integrate models and insights into trading and research workflows
  • Work closely with the investment team to build tools that support portfolio construction, stress testing, and asset allocation decisions

Requirements:

  • Strong understanding of financial data structures, time series analysis, and asset pricing concepts
  • Experience handling market data such as equities (OHLCV, fundamentals), crypto, FX, rates, and macro indicators
  • Background in systematic investing, quant research, or quant trading infrastructure
  • Proficiency in Python and common libraries used in quantitative finance

Benefits:

  • Competitive salary and equity upside
  • Comprehensive benefits package
  • Opportunities for learning and development
  • Collaborative and dynamic work environment

Why Work With Us:

  • Gain firsthand insights and mentorship from leadership with deep industry experience
  • Join a dynamic, innovative firm at the cutting edge of crypto, wealth tech, and alternative investments
  • Team up with passionate professionals on a mission to transform the future of finance
  • Enjoy real opportunities for learning, development, and upward mobility in a fast-scaling company

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