Technology has long been essential ingredient to our success, and as an Embedded Engineer in Research you will be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you will be responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and systematic investing that powers AQR.
As an Embedded Engineer in Research you will build or extend our:
Proprietary portfolio construction and optimization solutions
Global asset risk estimation system incorporating millions of data points
Intuitive research APIs leveraging cloud computing and cutting-edge visualizations
High-performance historical simulation engine for vetting new trading strategies
Bespoke technology solutions that satisfy the needs of specific asset classes
What You'll Bring
BS/MS/PhD in Computer Science or related discipline
Outstanding coding, debugging, and analytical skills
An aptitude for mathematics
Strength in pragmatic design and deploying applications using Linux/Docker/Python
An interest in quantitative finance (no finance / trading experience required)
Experience with Python / NumPy / pandas or similar quantitative stack is a plus
Demonstrated contributions to open-source software is also a plus
Who You Are
Mature, thoughtful, and a natural fit for a collaborative, team-oriented culture
Hard-working and eager to learn in a fast-paced, innovative environment
Committed to intellectual integrity, transparency, and openness
Motivated by the transformational effects of technology-at-scale
We believe that the next innovation to transform our business could come from anyone at AQR. Expect to be recognized not only for your diligence and hard work today, but for your vision for tomorrow. We are mathematicians, computer scientists, engineers and artists, passionate about advancing financial research and pushing the limits of today's technology.
AQR is an Equal Opportunity Employer. EEO/VET/DISABILITY
#LI-DH1 Associated topics: chip, circuit, electronic, electronic engineering, informatic, linux, programming, python, radar, software engineer
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.