Associate Director, Software Engineering - Data Modeling at Arrowstreet Capital

Boston, Massachusetts, United States

Arrowstreet Capital Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Quantitative Finance, Asset ManagementIndustries

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering or a related discipline
  • At least 5 years of prior experience (financial services exposure is a plus)
  • Proven record of delivering solutions used in production at scale, with high degrees of parallelism, accuracy, and uptime
  • Proven record of building high-performance cloud native solutions on public cloud (AWS preferred)
  • Experience with container technologies like Docker, Kubernetes, Helm
  • Experience working with data lakes, data warehousing, and/or database systems, including data frameworks like Trino, Spark, Pandas/Polars, Iceberg, etc
  • 3+ years of experience building data centric applications in Python
  • Comfortable working with existing SQL and C# codebases
  • Ability to write elegant code and comfortable picking up new technologies independently
  • Experience leading projects or teams is a plus
  • Experience with Helm and Infrastructure as Code tools (Terraform preferred) is a plus
  • Experience managing stakeholders and expectations is a plus

Responsibilities

  • Participate in building a data and HPC platform that meets the scalability and processing needs of Research and Research Systems
  • Participate in deep architectural discussions to ensure solutions are designed for successful deployment, scale, security, cost effectiveness, and high availability
  • Implement features and capabilities of the next generation system, accelerating deployment time in a collaborative development environment
  • Achieve high quality metrics through automated testing, robust operational tooling, and reliable designs
  • Lead/participate in code reviews and contribute actively during pair programming sessions to enhance quality of delivered artifacts
  • Participate in support rotations of production systems for Research stakeholders

Skills

Data Modeling
HPC
Scalable Architecture
Automated Testing
Code Review
Pair Programming
System Migration
Quantitative Research

Arrowstreet Capital

Investment management for global equity strategies

About Arrowstreet Capital

Arrowstreet Capital specializes in managing global and international equity investments for institutional clients, including pension plans and foundations. Their investment strategies include long-only, alpha extension, and long/short approaches, utilizing various financial instruments like swaps and futures. The company employs quantitative methods to analyze investment signals and develop proprietary models for return, risk, and transaction costs. This structured investment process aims to create diversified equity portfolios that seek to outperform specific benchmarks by identifying opportunities across different companies, sectors, and countries. With around $100 billion in assets under management, Arrowstreet Capital serves over 200 clients across North America, Europe, and the Asia-Pacific region.

Boston, MassachusettsHeadquarters
1999Year Founded
SECONDARY_PRIVATECompany Stage
Quantitative Finance, Financial ServicesIndustries
201-500Employees

Risks

Indictment of former executive for trade secrets theft may impact client trust.
Market volatility and geopolitical tensions could affect portfolio performance.
Rise of passive investment strategies may increase competition and pressure on fees.

Differentiation

Utilizes quantitative methods for investment signals in proprietary models.
Manages $100 billion for over 200 global clients.
Offers diverse equity strategies including long-only, alpha extension, and long/short.

Upsides

Advancements in AI enhance quantitative model capabilities for market trend prediction.
Increased interest in ESG investing can be leveraged by integrating ESG metrics.
Thematic investing trends offer opportunities for specialized equity strategies.

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