Quantitative Investment Systems Engineer

13 hours ago


Vellore, Tamil Nadu, India beBeeInvestment Full time ₹ 5,00,00,000 - ₹ 10,00,00,000

We are seeking a talented Quantitative Investment Systems Engineer to join our team and drive the development of cutting-edge investment systems.

As a Quantitative Investment Systems Engineer, you will be responsible for designing, implementing, and maintaining scalable quantitative investment systems that cater to various asset classes and financial goals.

The ideal candidate will have a strong background in low-frequency quant research, with expertise in model development, data pipeline creation, and system implementation.

You will work closely with our founder, product, and growth teams to align your research output with our company's objectives and drive continuous improvement of alpha generation and capacity expansion.

To succeed in this role, you should possess a strong academic background in financial engineering, mathematics, or computer science, along with prior experience in quantitative investing funds or fast-paced startups.

We thrive in freedom, self-motivation, ownership, and acting in our best interests. Our culture is built on AI-native productivity, end-to-end ownership, and bias toward shipping.

We offer a unique opportunity to leverage AI assistance to boost creativity and product velocity while driving innovation in the field of quantitative investment systems.

We are looking for a highly skilled professional who can bring their expertise and passion for quantitative investment systems to our team and contribute to shaping the future of wealth management.

  • Key Responsibilities:
  • Design, implement, and maintain scalable quantitative investment systems
  • Develop advanced models for low-frequency predictions of returns and risks
  • Create hyper-personalized portfolio optimizers compatible with various benchmarks and constraints
  • Drive continuous improvement of alpha generation and capacity expansion

Preferred Background:

  • Experience: 5+ years in low-frequency quant research and/or engineering
  • Education: Strong academic background from premier institutions in financial engineering/mathematics/computer science, or related quantitative disciplines
  • Prior Roles: Quant investing funds or fast-paced startups

We Offer:

  • A dynamic and innovative work environment
  • The opportunity to work with cutting-edge technologies and AI-powered tools
  • A competitive compensation package


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