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Entry Level C++ Quant Developer Jobs in New York

Point72

Quantitative Software Developer

New York, NY · On-site

Cubist's data services group is looking for a junior Quantitative Software Developer to join our ... Proficiency with Go and/or C++ is not required but is a big plus * Hands-on experience with ...

Point72

Quantitative Software Developer

Manhattan, NY · On-site

Cubist's data services group is looking for a junior Quantitative Software Developer to join our ... Proficiency with Go and/or C++ is not required but is a big plus * Hands-on experience with ...

Jane Street

Low-Latency Engineer

Manhattan, NY · On-site

... quantitative researchers and developers, taking a holistic approach to design and optimize our fast-trading systems. We build systems primarily in OCaml with only small amounts of C and C++, but you ...

Jane Street

Low-Latency Engineer

New York, NY · On-site

... quantitative researchers and developers, taking a holistic approach to design and optimize our fast-trading systems. We build systems primarily in OCaml with only small amounts of C and C++, but you ...

Jane Street

Low-Latency Engineer

New York, NY

... quantitative researchers and developers, taking a holistic approach to design and optimize our fast-trading systems. We build systems primarily in OCaml with only small amounts of C and C++, but you ...

Precise - Int

Entry-Level Financial Analyst

New York, NY · On-site

... Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing ... Responsibilities • Mapping and analyzing quantitative data • Preparing management reports • ...

Open Systems Technologies

Python Developer

Manhattan, NY · On-site

$150K - $250K/yr

Familiar with quantitative finance and electronic trading concepts and financial data * Equities ... Experience with other programming languages, such asC/C , Java, Scala, Go, or C# * Apache ...

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Entry Level C Quant Developer information

What does an entry level C++ quant developer do?

An Entry Level C++ Quant Developer is responsible for developing and maintaining quantitative models and software tools used in financial analysis and trading. They primarily use the C++ programming language to build high-performance applications that analyze financial data, implement trading strategies, and manage risk. Working closely with quantitative analysts, they help translate complex mathematical models into efficient, reliable code. This role often involves debugging, optimizing code, and collaborating with other teams to ensure the software meets business and regulatory requirements.

What are the key skills and qualifications needed to thrive as an entry level C++ quant developer, and why are they important?

To thrive as an Entry Level C++ Quant Developer, you need a strong background in C++ programming, quantitative analysis, and a relevant degree in mathematics, computer science, or a related field. Familiarity with financial modeling tools, version control systems like Git, and exposure to databases or scripting languages is typically expected. Analytical thinking, problem-solving, and the ability to collaborate within a fast-paced team environment are standout soft skills for this role. These competencies are crucial for efficiently developing and maintaining robust quantitative models that drive informed trading and investment decisions.

What are some common challenges faced by entry level C++ quant developers during their first year on the job?

Entry Level C++ Quant Developers often encounter challenges such as adapting to the fast-paced environment of financial trading desks, learning complex mathematical models, and mastering large, legacy codebases. Collaborating closely with quantitative analysts and senior developers requires strong communication skills and the ability to quickly grasp domain-specific concepts. Additionally, balancing the demands of writing efficient, high-performance code with the need for accuracy and reliability in financial computations is a key learning curve in this role.

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

AspectEntry Level C++ Quant DeveloperEntry Level Quant Analyst
Required CredentialsBachelor's in Computer Science, Mathematics, or related; programming skills in C++Bachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentDevelops trading algorithms, software tools, and models in a tech-driven environmentAnalyzes market data, develops trading strategies, and supports investment decisions
Employer & Industry UsageFinancial firms, hedge funds, trading desksAsset management firms, investment banks, hedge funds

While both roles involve quantitative skills, the Entry Level C++ Quant Developer focuses on coding and developing trading software using C++, whereas the Entry Level Quant Analyst emphasizes data analysis and strategy support. The developer role is more technical, requiring programming expertise, while the analyst role leans toward financial analysis and market research.

What are popular job titles related to Entry Level C++ Quant Developer jobs in New York?

For Entry Level C++ Quant Developer jobs in New York, the most frequently searched job titles are:

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

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

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

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

Entry Level C Quant Developer jobs near you
Infographic showing various Entry Level C++ Quant Developer job openings in New York as of August 2026, with employment types broken down into 78% Full Time, 7% Part Time, 1% Temporary, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Risk Engineering, Vice President, Market Risk Strats, New York

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Re-posted 14 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description

In Risk Strats, we are a team of quantitative experts responsible for driving timely and efficient risk management across the firm's market, credit, liquidity, and capital exposures. We design and deliver quantitative models, metrics, tools, and analyses essential to the firm's financial control and reporting functions. 
The team is responsible for designing, implementing and maintaining quantitative measures of risk such as Value at Risk, Exposure Modelling, Stress Testing, as well as metrics used to determine the firm's capital requirements, along with tools and systems that streamline and bring efficiency to the review and explanation of these metrics by leveraging Large Language Models (LLMs).

Whether assessing the creditworthiness of the firm's counterparties, monitoring market, credit, and liquidity risks associated with trading activities, or offering analytical and regulatory compliance support, our work contributes directly to the firm's success. The division is ideal for collaborative individuals who have strong ethics and attention to detail.

FUNCTIONALITY DESCRIPTION
  • Developing risk models, generating risk metrics and sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, stochastic calculus, machine learning
  • Performing detailed analysis on risk trends and drivers and communicating insights to internal and external stakeholders, harnessing the latest advancements in Large Language Models (LLMs) to deliver timely, efficient, and high-quality analysis, review, and explanation.
  • Strong commercial mindset, with a proven ability to deliver pragmatic, working solutions quickly and iterate based on stakeholder feedback and changing priorities.
  • Updating and maintaining risk models along with business growth and risk environment changes
  • Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala)
  • Experience in designing highly scalable, efficient and robust systems
  • Effectively communicating results and outputs from the model and insights from analysis
QUALIFICATIONS
  • Post graduate degree /bachelor's degree in mathematics, Physics, Electrical Engineering or related technical discipline
  • Passion for financial markets with strong familiarity across asset classes (equities, rates, credit, derivatives) and how they drive risk and capital.
  • Quantitative engineering mindset - blends financial intuition with rigorous methods to build robust, production-ready analytics.
  • Hands-on experience building LLM agents over financial data (RAG, tool-use, agentic workflows) to automate analysis and explanation.
  • Commercial mindset - applies software and LLMs to solve real financial problems, optimizing for impact over technology.
  • Strong analytical and problem-solving skills using math, statistics, and programming
  • Demonstrated ability to learn new technologies and apply
  • Excellent communication skills including experience speaking to technical and business audiences and working globally
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)

Salary Range 
The expected base salary for this New York, New York, United States-based position is $130000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits 
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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