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Junior Quant Developer Jobs in Philadelphia, PA (NOW HIRING)

Provide direct oversight and management of junior staff for specific project assignments. Coach ... Knowledge of quantitative/technical analyses and related software. Demonstrated ability to perform ...

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Junior Quant Developer information

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$61.5K

$107.7K

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How much do junior quant developer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for junior quant developer in Philadelphia, PA is $107,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $107,400.00 per year, depending on experience, location, and employer.

What is a junior quant developer?

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 does a junior quant developer do?

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.

What are the key skills and qualifications needed to thrive as a junior quant developer?

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 are the most commonly searched types of Quant Developer jobs in Philadelphia, PA?

The most popular types of Quant Developer jobs in Philadelphia, PA are:

What are popular job titles related to Junior Quant Developer jobs in Philadelphia, PA?

For Junior Quant Developer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Junior Quant Developer jobs in Philadelphia, PA look for?

The top searched job categories for Junior Quant Developer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Junior Quant Developer jobs?

Cities near Philadelphia, PA with the most Junior Quant Developer job openings:

Senior Quantitative Credit Strategist

Vangard, Inc.

Malvern, PA • On-site

Full-time

Re-posted 5 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.