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Entry Level Quant Developer Jobs in New York (NOW HIRING)

... Engineering, Mathematics, or a related field. preferred. * Minimum three years experience in Secondary Marketing, Capital Markets, or Quantitative Risk Management (QRM) / Asset Liability Management ...

... programming, and machine learning techniques. We use financial data, alternative datasets, and ... If you're seeking stimulating quantitative work with clear, tangible business impact, BXDS may be a ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

Analyzing quantitative and qualitative data to identify trends, risks, and opportunities for ... With our team of engineers with years of field construction experience, we assist our clients in ...

Matrix New World Engineering, a part of True Environmental and its partner firms, have united their ... The candidate will assist with training entry level staff * Field work will include oversight of ...

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Entry Level Quant Developer information

What is an entry level quant developer?

Entry level quant developers are professionals who use mathematical models, programming, and data analysis to help financial institutions make trading decisions or manage risk. They typically work with large datasets and implement algorithms in programming languages like Python, C++, or Java. While entry level roles may focus more on coding and supporting senior quants, they provide a strong foundation in both finance and technology. These roles often require strong analytical skills, basic financial knowledge, and proficiency in at least one programming language.

What are the key skills and qualifications needed to thrive as an entry level quant developer?

To thrive as an Entry Level Quant Developer, you need strong quantitative skills, programming proficiency (such as Python, C++, or Java), and a background in mathematics, statistics, or a related field. Familiarity with financial modeling tools, statistical analysis software, and version control systems like Git is often required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with teams and translating complex data into actionable insights. These skills and qualities are essential for developing robust quantitative models and supporting data-driven decision-making in fast-paced financial environments.

What are some typical challenges faced by entry level quant developers when transitioning from academia to a professional finance environment?

Entry level quant developers often find the transition from academic settings to professional finance environments challenging due to the fast-paced nature of the industry and the need for effective collaboration with traders, analysts, and senior developers. In addition to applying their quantitative and programming skills, new hires must quickly adapt to production-level coding standards, version control systems, and the need for rigorous code reviews. Time-sensitive problem-solving and balancing multiple projects are common, making communication and prioritization essential skills. Proactively seeking mentorship and being open to feedback can significantly ease this transition and foster professional growth.

What is the difference between Entry Level Quant Developer vs Quant Analyst?

AspectEntry Level Quant DeveloperQuant Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Finance, Economics, or Math; strong analytical skills
Work EnvironmentFinancial firms, hedge funds, trading desks; coding-focusedFinancial institutions, asset management; analysis and modeling
Employer & Industry UsageCommon in trading firms, hedge funds, investment banksPrevalent in asset management, hedge funds, banks

While both roles involve quantitative skills, Entry Level Quant Developers focus on coding and implementing trading algorithms, whereas Quant Analysts primarily analyze data and develop financial models. The roles often overlap but differ mainly in their core responsibilities and daily tasks.

What are the most commonly searched types of Quant Developer jobs in New York?

The most popular types of Quant Developer jobs in New York are:

What job categories do people searching Entry Level Quant Developer jobs in New York look for?

The top searched job categories for Entry Level Quant Developer jobs in New York are:

What cities in New York are hiring for Entry Level Quant Developer jobs?

Cities in New York with the most Entry Level Quant Developer job openings:

Infographic showing various Entry Level Quant Developer job openings in New York as of August 2026, with employment types broken down into 88% Full Time, 2% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Algorithmic Trading Analyst

BestEx Research

Stamford, CT • On-site

Full-time

Posted 12 days ago


Job description

BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.
Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including Transaction Cost Analysis (TCA), Strategy Studio for algorithm customization, trading dashboards, and pre-trade analytics in a single platform. The platform is currently live across U.S., European, and Canadian equities and global futures markets.
BestEx Research is transforming a $100 billion industry by replacing traditional black-box execution with transparent, data-driven, and customizable algorithmic trading solutions. Our technology stack combines high-performance C++, Python, R, cloud infrastructure, and advanced quantitative research to build next-generation trading systems.
Our mission is to become the global leader in execution analytics and algorithmic trading while helping clients significantly reduce transaction costs across asset classes. Visit our website https://www.bestexresearch.com/ to learn more about our products, research, and mission.
Requirements
Description
We are seeking highly motivated and detail-oriented entry-level candidates to join our Stamford, CT team as Algorithmic Trading Analysts. This role is a foundational position within our electronic trading organization, designed for candidates who want to build deep expertise at the intersection of market structure, algorithmic execution, trading technology, and software development.
In this role, you will work closely on a variety of projects alongside our trading desk, quant and engineering teams to build and improve various aspects of our global multi-asset algorithmic trading platform.
Over time, you will have the opportunity to build expertise in one of several different front office roles focused on quant research, product management or client coverage.
Specifically, You Will:
  • Develop a strong working knowledge of market structure and electronic trading behavior in several asset classes and regions.
  • Learn how algorithmic execution strategies, routing logic, and trading systems underneath them actually work.
  • Learn to evaluate algorithm performance across clients and strategies using statistical analysis and data visualization.
  • Gain experience testing and supporting our trading product.
  • Build fluency in product planning, prioritization, and cross-functional communication across trading, technology, and client teams
  • Develop communication and presentation skills for internal and client-facing interactions.
  • Develop working knowledge of Global Equities and Futures market structure, and how electronic trading behavior differs across regions and asset classes

Requirements
  • Bachelor's, Masters or PhD in Computer Science, Engineering, Finance, Quantitative Finance, Mathematics, Statistics, Data Science or a related quantitative discipline
    Strong foundation in probability, statistics and data analysis.
  • Strong analytical mindset and problem-solving skills with high attention to details
  • Working knowledge of Python/R and SQL
  • Excellent written and verbal communication skills
  • Collaborative, proactive attitude with a strong sense of ownership and desire to learn in a fast-paced trading environment
  • Willingness to work in person daily in our office in Stamford, CT