Houston, Texas, United States
Two Sigma is a different kind of investment manager. Since 2001, we have used data science and technology to derive insights that forecast the future and discover value in markets worldwide. Our team of scientists, technologists and academics looks beyond traditional finance to understand the bigger picture and develop creative solutions to some of the world’s most difficult economic problems. Our work spans markets and industries, from insurance and securities to private investments and new ventures.
We are seeking exceptional technologists with high caliber big data and distributed computing experience to join our team. Working hand-in-hand with our quantitative researchers, our quantitative engineers build tools and systems to enable predictions using granular economic data at a very large scale. The platforms they build also enable the rest of Two Sigma to process increasingly larger and more nuanced datasets.
You will take on the following responsibilities:
Work very closely with, and provide solutions for our researchers
Design, engineer and implement software-based trading analytics
Engineer large-scale, real-time, and distributed quantitative software applications
Engineer high-performance, multi-threaded quantitative software applications using several programming languages including Java, C++, Python, Scala and Spark, all in Linux with industry-standard toolchains
You should possess the following qualifications:
Two or more years of professional experience as a software engineer.
BA in computer science or an equivalent software engineering field
Professional experience in a production environment in an object oriented or functional language, preferably Java or Python.
Experience and knowledge with declarative, single-assignment, directed-acyclic-graph parallel programming models similar to Apache Spark.
You will enjoy the following benefits:
Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
Learning: Tuition reimbursement, conference and training sponsorship
Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.