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Junior Quant Developer Jobs (NOW HIRING)

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data ...

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data ...

The candidate must be very comfortable programming in C++ and python * An emerging markets fixed ... Mentor more junior members of the team * Provide quantitative support and expertise to portfolio ...

The candidate must be very comfortable programming in C++ and python * An emerging markets fixed ... Mentor more junior members of the team * Provide quantitative support and expertise to portfolio ...

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Junior Quant Developer information

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$61K

$106.8K

$161K

How much do junior quant developer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for junior quant developer in the United States is $106,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What is a Junior Quant Developer job?

A Junior Quant Developer is an entry-level role that combines software development with quantitative analysis in the finance industry. They assist in building and maintaining financial models, trading algorithms, and risk management tools. Typically, they work with programming languages like Python, C++, or Java and utilize mathematical and statistical techniques. Their responsibilities often involve data analysis, backtesting strategies, and optimizing trading systems. This role serves as a stepping stone toward becoming a full-fledged Quant Developer or Quantitative Analyst.

What are the key skills and qualifications needed to thrive in the Junior Quant Developer position, and why are they important?

To thrive as a Junior Quant Developer, you need strong programming skills (usually in Python, C++, or Java), foundational knowledge in mathematics and statistics, and a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with quantitative libraries, financial modeling tools, and version control systems such as Git is often expected. Analytical thinking, teamwork, and effective communication are important soft skills for collaborating with senior developers and traders. These skills are essential for building robust quantitative models, contributing to complex projects, and growing within a fast-paced financial technology environment.

What kinds of projects and tasks can a Junior Quant Developer expect to work on?

As a Junior Quant Developer, you can expect to assist with developing, testing, and optimizing quantitative models used for trading or risk assessment. Your day-to-day tasks may involve coding algorithms, analyzing large datasets, backtesting strategies, and debugging model performance, all under the guidance of more experienced team members. You’ll also have opportunities to work closely with traders, data scientists, and senior quants, contributing to both research initiatives and real-time trading systems. This collaborative environment provides excellent learning opportunities and valuable exposure to different aspects of quantitative finance, helping you build expertise for career growth.

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Infographic showing various Junior Quant Developer job openings in the United States as of June 2026, with employment types broken down into 12% Full Time, 35% Part Time, and 53% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $106,825 per year, or $51.4 per hour.
Credit Algorithmic Market Mortgage Quant - VP

Credit Algorithmic Market Mortgage Quant - VP

Citigroup, Inc.

New York, NY • On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Description
We are seeking an experienced Quantitative Analyst (VP) to join our Markets Quantitative Analysis team in New York City. This is a senior role for an individual with deep expertise in RMBS securitized products and whole loans quantitative modeling. You will be responsible for driving the application of advanced analytics and machine learning within the securitized products business, as well as managing and mentoring junior quants. You will collaborate closely with the trading desk. You will be expected to generate impactful data analysis and trade ideas, build sophisticated models, and harness enormous datasets for in-depth analysis of RMBS/ABS securities. You will build and deploy models and analytics using C++, Python, and SQL, with a strong emphasis on leveraging AI and ML tools.
Responsibilities:
  • Lead the development, implementation, and validation of sophisticated models to price and assess risk on RMBS and ABS securities.
  • Apply advanced statistical and ML modeling to project prepayment, default rates, and other credit-related metrics, and to identify complex, actionable patterns within large financial datasets
  • Directly support trading desk and F&S business by developing data analysis tools and reports.
  • Collaborate with other groups including risk management, technology, and the model validation group.
  • Mentor, guide, and manage junior quants on the team, fostering their technical and professional growth.

Ideal Candidate:
  • 4-6 years of experience developing prepayment and default models for pricing and risk management for different mortgage types such as prime jumbo, Alt-A/Non-QM, RPL, CRT, etc.
  • Significant experience working directly with trading and F&S desks and providing analytical support for various trading activities.
  • Significant experience working with various mortgage databases such as LoanPerformance and Fannie/Freddie Credit Risk transfer, and the ability to develop data analysis tools and reports.
  • Expertise with cashflow analytics tools such as Intex, Bloomberg and Yield Book.
  • Significant, expert-level experience in programming including C++, SQL, and Python, machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Possesses excellent communication skills, with the ability to explain complex quantitative concepts to senior stakeholders.

Education
  • Graduate degree (Masters or PhD) in Computer Science, Mathematics, Physics, Engineering, or another quantitative field.

Other job-related duties may be assigned as required.
Job Family Group:
Institutional Trading
Job Family:
Quantitative Analysis
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$175,000.00 - $250,000.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 18, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.