Investment Processes Intern

We are looking for interns to join our Investment Processes group. Our Investment Processes group is responsible for the automated processes used in investment decision-making and trading. We are a quantitatively-skilled and collaborative group of investment professionals, working at the intersection of finance and computer programming. Our systems ingest risk and return forecasts, along with client and vendor data, and generate the firm’s trading program. Our trading program tells us what to trade, when to trade it, how to finance the trade, and what trading algorithms to use.

Responsibilities

Our interns are immersed in our team effort, working side-by-side with members of the team. Depending on your competitive advantages, typical responsibilities may include:

• Translating investment goals into mathematical problems that can be fed into a computer

• Writing and maintaining code to solve portfolio construction, portfolio finance and trade execution problems

• Understanding and improving the workflow of security borrowing and collateral management

• Designing and implementing algorithms to minimize transaction costs

• Researching optimization methods used in finance and in other fields

• Designing diagnostic tools to help users understand how our investment ideas are expressed in our computer-driven trading program

• Working with software developers to translate our business knowledge and mathematical skills into production-quality code

Qualifications

The ideal candidate has completed an undergraduate degree from an educational institution in a field that requires problem solving skills, such as applied mathematics, economics, engineering, mathematical finance, operation research, or computer science.

Expected master's degree completion within a year of the internship. We value professional and academic success.

A strong candidate will have some, but perhaps not all, of these qualifications:

• Knowledge of financial markets and asset pricing, gained through industry experience or academic study

• Interest in numerical optimization algorithms, especially convex programming

• Great communication skills, and an eagerness to talk to investment professionals with varying degrees of quantitative expertise

• Experience with various programming languages, including C# or other object-oriented language, Python or other scripting language, and R or other statistics-based language

• Understanding of probability, statistics and linear regression