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Junior Quantitative Jobs (NOW HIRING)

Citigroup, Inc.

Model/Anlys/Valid Sr Analyst

New York, NY · On-site

$160K - $175K/yr

Provide training to junior quantitative analysts on model methods and techniques used to develop, maintain and improve financial models used for the pricing of exotic interest rate derivatives.

Socket.dev

Quantitative Developer

Manhattan, NY · On-site

$125 - $175/hr

We are looking for a Junior Quant Developer to join the Platform & Operations team. This is an ideal opportunity for a technically strong, early-career candidate who enjoys solving real problems and ...

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How much do junior quantitative jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for junior quantitative in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

What is a junior quantitative?

Junior Quantitatives, often called 'junior quants,' are entry-level professionals who use mathematical, statistical, and computational methods to analyze financial data and develop models for trading, risk management, or investment strategies. They typically work under the supervision of senior quants in financial institutions, such as investment banks, hedge funds, or asset management firms. Their responsibilities often include data analysis, model development, programming, and assisting in the implementation of quantitative strategies. Junior quants usually have strong backgrounds in mathematics, statistics, finance, or computer science. This role is a starting point for building a career in quantitative finance.

What are the key skills and qualifications needed to thrive as a junior quantitative analyst, and why are they important?

To thrive as a Junior Quantitative Analyst, you need strong analytical skills, a solid background in mathematics or statistics, and at least a bachelor's degree in a quantitative field such as mathematics, statistics, finance, or engineering. Familiarity with programming languages like Python, R, or MATLAB, as well as proficiency in Excel and experience with data analysis tools, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex analyses into actionable insights. These skills and qualifications are crucial for building accurate financial models, supporting decision-making, and contributing meaningfully to data-driven teams.

What are some common challenges faced by junior quantitative analysts in their first year, and how can they overcome them?

Junior Quantitative Analysts often encounter challenges such as adapting to the fast-paced environment, bridging the gap between academic theory and practical application, and mastering company-specific tools and large datasets. Building strong communication with senior team members and proactively seeking feedback can help overcome these hurdles. Additionally, dedicating time to learn the firm's proprietary systems and collaborating closely with cross-functional teams—like traders and software engineers—will accelerate both skill development and confidence in the role.

What is the difference between Junior Quantitative vs Quantitative Analyst?

AspectJunior QuantitativeQuantitative Analyst
Required CredentialsBachelor's degree in math, finance, or related field; some internshipsBachelor's or master's degree; often more experience or certifications
Work EnvironmentEntry-level, supportive team, learning-focusedMore independent, project-driven, higher responsibility
Employer & Industry UsageFinancial firms, hedge funds, banksFinancial institutions, asset management, hedge funds

The main difference between Junior Quantitative and Quantitative Analyst roles lies in experience and responsibility. Junior Quantitative positions are entry-level, focusing on learning and supporting senior staff, while Quantitative Analysts handle more complex analysis and decision-making. Both roles are common in finance and share similar educational backgrounds, but the level of experience and independence distinguishes them.

Is a junior quantitative an entry level job?

A junior quantitative role is typically considered an entry-level position in finance or data analysis, often requiring a bachelor's degree in a related field and some programming or statistical skills. It is designed for candidates with limited professional experience and provides training to develop technical expertise in quantitative methods.

What is the salary of a junior quantitative researcher?

The salary of a junior quantitative researcher typically ranges from $60,000 to $90,000 annually, depending on the location, industry, and level of experience. Entry-level roles often require proficiency in programming languages like Python or R and strong analytical skills.
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Junior Quantitative jobs near you
Infographic showing various Junior Quantitative job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Senior Quantitative Credit Strategist

Vangard, Inc.

Malvern, PA

Full-time

Re-posted 6 days ago

Job description

The Opportunity

This is a senior role within the Fixed Income Quantitative Research Group. The Senior Corporate Credit Quantitative Strategist will help set the research agenda in partnership with the Global Head of Quantitative Research and other senior investors. The successful candidate will partner with portfolio managers, credit analysts, and risk teams to design, implement, and scale quantitative models supporting corporate bond investment strategies. The role focuses on credit alpha generation, relative value, and portfolio construction across global investmentgrade and highyield markets.

A key success factor is the ability to translate quantitative research into investment ideas used in live portfolios, enhancing security selection, sizing, and risk management.

What You'll Do

  • Develop quantitative models for credit investing that directly inform alpha generation, issuer/sector selection, relativevalue decisions, and position sizing across global IG and HY portfolios.

  • Create and maintain quantitative signals like valuation, spread, quality, momentum, liquidity, downside risk with a demonstrated link to excess return across market regimes.

  • Partner closely with corporate credit portfolio managers and analysts to ensure quantitative insights drive live portfolio decisions, not standalone research.

  • Partner with quantitative research analysts on all stages of the model development life cycle. Take ownership of backtesting, performance attribution, and factor analysis, clearly articulating what drove returns, what detracted, and how strategies performed in stress environments.

  • Analyze issuer, sector, and capitalstructurelevel relationships to identify actionable relativevalue opportunities in corporate bonds.

  • Translate research into scalable, productionready analytics embedded in portfolio construction and risk workflows.

  • Communicate quantitative insights succinctly to PMs and senior investment leadership, focusing on decisionrelevant outcomes.

  • Mentor junior quants and uphold research standards, model governance, and documentation.

What It Takes

Required Qualifications

  • Advanced degree (Master's or PhD) in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Quantitative Finance).

  • 15+ years of experience in quantitative research or strategy with a primary focus on corporate credit.

  • Experience supporting systematic or quantitativelyenabled credit strategies.

  • Deep understanding of corporate debt markets, including spread dynamics, capital structure, ratings migration, and default cycles.

  • Expertise with synthetic credit, capital structure RV, and leveraged loans. Proven ability to generate investment ideas independently and partner with PMs is a strong indicator of success in this role.

  • Strong programming skills in Python (required); SQL and/or R preferred.

  • Experience working with large fixed-income datasets (TRACE, BQUANT, issuer fundamentals, pricing, liquidity metrics).

  • Proven ability to deliver actionable research used by PMs.

Preferred / Differentiating Skills

  • Exposure to credit risk models, issuerlevel forecasting, and stress testing.

  • Prior experience embedding models into portfolio construction or risk platforms.

  • Prior experience with structured credit and global credit markets

  • CFA or progress toward CFA.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Apply