Quant Research Development - Software Engineer - Vice President

AQR Capital Management

Bengaluru

Presencial

INR 2.000.000 - 3.000.000

Jornada completa

14 días+
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Descripción de la vacante

A leading investment management firm seeks a Senior Quant Engineer to join their Research team. The role involves developing systems that support quantitative strategies, collaborating with researchers, and implementing high-performance solutions. Ideal candidates have extensive programming experience and a strong interest in quantitative finance.

Formación

  • 7+ years of programming experience with expertise in Python, Java, or C++.
  • Experience with cloud technologies is a plus.

Responsabilidades

  • Build or extend portfolio implementation systems based on research output.
  • Design and implement proprietary systems and tools.

Conocimientos

Python
Java
C++
Analytical Skills
Problem Solving
Communication

Educación

BE/BTech in Computer Science
BE/BTech in Computational Finance
BE/BTech in Data Science

Herramientas

AWS
Azure
GCP

Descripción del empleo

Quant Research Development - Software Engineer - Vice President

Join to apply for the Quant Research Development - Software Engineer - Vice President role at AQR Capital Management

About AQR Capital Management

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by filtering out market noise to identify what matters most, and developing ideas that withstand rigorous testing. Our commitment to excellence in technology powers our insights and analysis, making us leaders in both alternative and traditional strategies since 1998.

Our Approach

We adopt a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors like pension funds, insurance companies, endowments, foundations, and sovereign wealth funds, along with financial advisors.

The Team

Technology is essential to our success. As a Quant Engineer in the Research (Portfolio Implementation) team, you will tackle mission-critical challenges that bring our investment ideas to life. Collaborating with researchers and portfolio analysts, you will design and implement proprietary systems and tools supporting our quantitative strategies and systematic investing.

Your Role

As a Senior Quant Engineer in QRD, your responsibilities include building or extending:

  • Portfolio Implementation systems based on research output, including optimization with constraints and order generation
  • Microservices utilizing cloud computing for scalable operations
  • High-performance historical simulation/back-testing engines for testing various portfolio constraints
  • Customized technology solutions tailored to specific asset classes and research needs
  • Collaborating with local and global research engineering teams for successful product delivery
What You’ll Bring
  • BE/BTech in Computer Science, Computational Finance, Data Science, or related fields
  • 7+ years of programming experience with expertise in Python, Java, or C++
  • Experience as a Java programmer with Python knowledge is highly desirable
  • Ability to design elegant solutions and translate designs into high-quality code
  • Strong analytical and problem-solving skills
  • Excellent communication skills
  • Interest in quantitative finance (no trading experience required)
  • Experience with cloud technologies (AWS, Azure, GCP) is a plus
  • Contributions to open-source software are a plus
  • Aptitude for mathematics, finance, and econometrics is desired
Who You Are
  • Collaborative, mature, and a good fit for a team-oriented culture
  • Hard-working and eager to learn in a fast-paced environment
  • Committed to integrity, transparency, and openness
  • Motivated by the transformative power of large-scale technology
Additional Details
  • Seniority level: Executive
  • Employment type: Full-time
  • Job function: Research, Analyst, and Information Technology

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