Senior Simulation HPC Engineer

Posted 19 Hours Ago
Be an Early Applicant
Boston, MA
Senior level
Financial Services
The Role
The Senior Simulation HPC Engineer will design and develop compute platforms for the Research Systems group, focusing on portfolio simulation capabilities. Responsibilities include managing software projects end-to-end, leading technical design discussions, and providing production support while collaborating closely with the Research group to implement high-performance, scalable solutions.
Summary Generated by Built In

Job Overview

The Simulation HPC Engineer will be a thought leader on architecture and development within the development team responsible for the compute platform for the Research Systems group. As a systematic asset manager, Arrowstreet must identify investable trading strategies and implement them quickly and with the highest quality. Having a robust, scalable, and performant general compute platform is thus of critical importance. 

A key focus of this role is on the portfolio simulation capability where we quantify the effect of different investment strategy variations (e.g., new instruments, different entry and exit criteria, different trading cost estimates, etc.), so the ideal candidate will possess a deep understanding of large computer systems, code parallelization, data structure memory layout, and financial instruments. There is as much consideration to the implementation of software features requested by the Quantitative Research team as there is to the robust and efficient execution of the financial processes across large HPC clusters.

Responsibilities

  • Design, develop, and support compute platforms both on premise and on AWS

  • Work closely with members of the Research group to review and define requirements for systems that simulate the impact of a large number of variations to the primary investment strategies

  • Develop design proposals for innovative technical solutions that meet the business requirements with high performance, scalability, and maintainability, primarily using Python, C#, and/or Rust

  • Lead technical design discussions within the team to gather feedback, discuss the merits and risks of different approaches, and reach consensus on the target architecture

  • Manage software projects from end-to-end including requirements gathering, design, development, testing, project management, and support functions

  • Provide guidance to other team members on development tasks

  • Promote high quality code via code reviews

  • Provide production support for the platform to prevent disruptions to investment processes

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline

  • Extensive experience working with large, high-performance, distributed systems

  • Excellent software architecture design skills

  • Thorough understanding of computer systems architecture, operating systems, I/O and memory

  • Experience designing and developing complex production systems in Python or another object-oriented language

  • Proven experience with developing cloud native solutions on public cloud, preferably AWS

  • A passion for software development and a desire to learn new technologies

  • Understanding of financial mathematics and trading strategies is very desirable

  • Experience working with k8s is a plus

  • Data Engineering experience is a plus

  • Enjoy analytical problem solving

  • Attention to detail, drive, energy, enthusiasm and maturity

We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.

Top Skills

C#
Python
Rust
The Company
HQ: Boston, MA
438 Employees
On-site Workplace
Year Founded: 1999

What We Do

Arrowstreet Capital is a Boston-based investment manager that provides global and international equity investment strategies and fund products to institutional investors such as pension plans, endowments, foundations, and registered/unregistered commingled investment funds.

We offer a select range of global equity investment strategies managed as long-only, alpha extension and long/short utilizing a broad range of instruments, including swaps and futures. Our investment process utilizes quantitative methods that focus on identifying and incorporating investment signals into our proprietary return, risk and transaction cost models. Our investment approach involves creating and investing in diversified equity portfolios. We utilize a structured investment process that attempts to add value relative to a client specific benchmark. This involves identifying opportunities across companies, sectors and countries by evaluating a diverse set of fundamental and market-based predictive factors. Portfolios are constructed through the use of a mean variance optimizer and proprietary risk and transaction cost models.

Arrowstreet Capital manages approximately $100 billion for over 200 client relationships in North America, the United Kingdom, Europe and the Asia-Pacific regions.

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