Junior Quantitative Specialist, Treasure Technology

As a Junior quantitative strategist you will have \ experience in financing, hands-on Python knowledge, strong abstract problem-solving ability.. You will join the team focused on delivering quantitative analytics and models for Point72’s Global Treasury. In this role you will work across teams to build modelling and analytics for Treasury. Working closely with the business teams and Technology, you will design and implement

A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

Over the past 2 years, we have seen significant investment in the technology team, focused on the transformation of the Firm’s technology organization, into a world-class, cloud-first, technology group. During this time, the Global Macro business has expanded significantly, and as a result, we are building a combined Quant Strategy & Technology team dedicated to Macro.

What you’ll do

You will join the team focused on delivering quantitative analytics and models for Point72’s Global Treasury. As a quantitative strategist, you will 

In this role you will work across teams to build modelling and analytics for Treasury. Under the guidance of senior team members, you will be working on

• Margin modelling and optimization
• Carry replication and allocation
• Liquidity methodologies
• Security financing analytics across repo and stock lending

What’s required

We are looking for a quantitative strategist with experience in financing, hands-on Python knowledge, strong abstract problem-solving ability. Specifically, you will need:

• A degree from a renowned institution in a quantitative field such as computer science, theoretical physics, pure or applied mathematics, or electrical engineering
• Strong communication skills
• Working knowledge of Python and familiarity with Python libraries for quantitative data analysis and visualization
• Experience as quant in Prime Brokerage, Delta1, or Treasury at a top tier investment bank or a leading hedge fund is a plus
• Knowledge of TensorFlow and/or Mosek or similar optimization frameworks and tools is a plus
• Success in the role will require natural adhesion to Treasury Quant team work ethics, quality standards, commitment to technical rigor while keeping delivery schedules, transparency, and reliability.
• All our colleagues and team members are expected to maintain a commitment to the highest ethical standards