Quantitative Developer

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Associate, Quantitative Developer

role at

Arrowstreet Capital, Limited Partnership

We are looking for Quantitative Developers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.

Our quantitative development team within Research is responsible for the tools, APIs, libraries and software engineering techniques to support faster generation, evaluation and productionization of investment ideas.

As a Quantitative Developer, you will help build our next-generation Research data platform leveraging open-source, cloud and distributed computing technologies. You will work on high-impact projects that are quickly adopted and drive change across the team.

Responsibilities

Your responsibilities are expected to grow in line with your experience and abilities. Depending on your competitive advantages, typical responsibilities may include :

Writing and maintaining Python and R code that supports the investment research production processes

Designing and creating software to enhance our data science technology stack

Performing ad-hoc exploratory statistical analysis across multiple large complex data sets from a variety of structured and unstructured sources

Implementing performance improvements in our data analysis and numerical programming code

Running POCs to evaluate new technologies and libraries in the PyData ecosystem

Staying up to date on the PyData ecosystem and evaluating new libraries and tools

Working with software engineers to design feeds for new data sources from third-party vendors

Qualifications

An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and / or finance, or vice versa – a quantitative degree with a computer science application

Demonstrated professional or academic success (recent graduates are encouraged to apply)

Strong analytical, quantitative, and problem-solving skills

Experience implementing production-grade Python code for a data analytic business, preferably in investment management

Expert programming skills in Python with pandas and numpy

Expertise in OOP paradigms, data structures, and numerical algorithms

Understanding of probability and statistics, including linear regression and time-series analysis

Curiosity and a willingness to learn new technologies

Interest in financial markets (prior experience not required)

Excellent communication skills, including data visualization

High energy and strong work ethic

In addition, experience with any of the following would be valuable :

Some experience programming in R with tidyverse packages

High-performance computing

Distributed computing

Hadoop, Spark, Kafka, and related technologies

SQL

Unix / Linux system tools and environment

Basic familiarity with unit testing, continuous integration, DevOps, containerization

Interactive data visualization and dashboards

Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world.

All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law.

Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

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