Full Stack Engineer

Company Description

Applied Academics is a lean and growing team of researchers, technologists, and business teams in New York, Tokyo, and London. We are leaders in predicting the performance of investment managers to help socially important institutional investors protect the financial future of their beneficiaries. We are currently hiring engineers for our New York office to support our expanding client base, which includes major institutional investors, investment managers, derivatives exchanges, and index companies around the world. Applied Academics is wholly-owned by members of the firm.

Job Description

We are looking for a talented developer who is a technology enthusiast to help design and build the next generation of Goose, our performance prediction platform. Goose is built with the latest technology and empowers our clients to adopt the paradigm shift that our scientific breakthroughs are causing in the way investors allocate billions of dollars to managers. The symbiotic relationship between our engineers and researchers makes the scale and complexity of Goose possible and is central to the growth of our business. You will work closely with our exceptionally creative research team to solve challenging computational problems to build and maintain a robust, reliable, and scalable infrastructure.

Must Haves

• At least 5 years of experience building large-scale software

• Experience in web application technologies such as HTML, CSS, JavaScript, JQuery, and REST API’s, and programming languages such as Python and Go

• Ability to communicate, prototype, and implement with product and UX owners

• Knowledge of testing patterns and deployment systems for integration and user testing

• An entrepreneurial and collaborative spirit that inspires others

• Intellectual curiosity and eagerness to learn and adapt to new technologies

• Alogical and thoughtful communication style

Nice to Haves

• Experience working with financial markets data

• Experience writing performance-critical code

• Background in building efficient and secure client-facing programs

• Working knowledge of mathematics, statistics, probability theory, and finance

This position is for a full-time role and is based in midtown Manhattan near Bryant Park. Starting salary will be in a competitive range based on candidate fit and experience, and equity participation may be considered. Above all, we value enthusiasm for the subject matter and a love of learning. If you like the idea of working in an open, multi-cultural, and multitalented environment on projects that impact some of the world's most important financial institutions, we'd love to hear from you.