Senior Quantitative Developer

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Investment ManagementIndustries

Requirements

Candidates should possess an undergraduate or graduate degree in computer science, demonstrating strong analytical and problem-solving skills. Expertise in Python programming, including implementing production-grade Python code, and proficiency in object-oriented programming paradigms, data structures, and numerical algorithms are required. Experience with data storage solutions such as RDBMS, S3, columnar databases, and NOSQL databases, as well as distributed computing technologies like Spark and Dask, is essential. A foundational understanding of probability and statistics, including linear regression and time-series analysis, along with curiosity and a willingness to learn new technologies, is also needed.

Responsibilities

As a Senior Quantitative Developer, you will write and maintain Python libraries to support the investment research production processes, design and create software to enhance the data science technology stack, and design and implement financial data APIs and numerical APIs. You will apply cloud and distributed computing technologies, implement performance improvements in data analysis and numerical programming code, run POCs to evaluate new technologies, work with software engineers on data feeds, and propose and lead implementations of major components in the data science platform. Additionally, you will mentor junior team members, and contribute to other projects based on experience and interest.

Skills

Python

Data Science

APIs

Numerical Programming

Cloud Computing

Distributed Computing

Data Analysis

Software Engineering

PyData ecosystem

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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