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Principal Quantitative Analyst Jobs (NOW HIRING)

FHLB Des Moines

Model Risk Co-Op

Des Moines, IA · On-site

$22/hr

... quantitative discipline. * Understanding of financial market concepts and basic fixed-income analytics. * Understanding of stochastic processes, time series analysis, principal component analysis ...

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Principal Quantitative Analyst information

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$133.9K

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How much do principal quantitative analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for principal quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a principal quantitative analyst?

A Principal Quantitative Analyst is a senior-level expert who uses advanced mathematical, statistical, and computational techniques to analyze data and develop models for decision-making, typically in finance, risk management, or technology sectors. They often lead teams, design complex quantitative strategies, and provide insights that inform business strategies or investment decisions. Their work may involve creating algorithms for trading, assessing risk, or optimizing portfolios. Principal Quantitative Analysts are expected to have a strong background in mathematics, statistics, programming, and relevant industry experience. They also mentor junior analysts and collaborate with other departments to implement quantitative solutions.

What are the key skills and qualifications needed to thrive as a principal quantitative analyst?

To thrive as a Principal Quantitative Analyst, you need advanced statistical and mathematical expertise, a graduate degree in a quantitative field, and significant experience in financial modeling. Mastery of programming languages such as Python, R, or MATLAB, and familiarity with data analytics platforms and quantitative finance tools like Bloomberg or SAS, are typically required. Strong analytical thinking, problem-solving abilities, and excellent communication skills set top performers apart in this role. These competencies are essential for developing robust quantitative models and translating complex data into actionable insights that drive business strategy.

How does a principal quantitative analyst typically collaborate with other teams within a financial organization?

A Principal Quantitative Analyst frequently works cross-functionally, partnering with traders, portfolio managers, risk management, and IT teams to develop and implement complex quantitative models. They often provide guidance to junior analysts and serve as a key advisor in strategic decision-making processes. Effective collaboration ensures that models are aligned with business objectives, regulatory standards, and real-time market conditions. This role requires strong communication skills to explain technical concepts to non-quantitative stakeholders and to translate analytical insights into actionable business strategies.

What is the difference between Principal Quantitative Analyst vs Quantitative Analyst?

AspectPrincipal Quantitative AnalystQuantitative Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in finance, mathematics, or related fields; certifications like CFA or FRM are commonUsually holds a bachelor's or master's degree in a relevant field; certifications are optional but beneficial
Work EnvironmentLeads complex projects, provides strategic insights, and mentors junior staff within financial institutions or hedge fundsPerforms data analysis, develops models, and supports trading or risk management teams
Industry UsageUsed in investment banks, asset management firms, hedge funds, and financial servicesCommon across similar financial sectors, often as entry to mid-level roles

The Principal Quantitative Analyst typically holds more experience, leads strategic projects, and has greater responsibilities compared to a Quantitative Analyst. While both roles require strong analytical skills and relevant credentials, the Principal role emphasizes leadership and strategic input within financial organizations.

Is a principal quantitative analyst in demand?

Principal quantitative analysts are in high demand across finance, technology, and consulting sectors due to their expertise in data analysis, modeling, and programming skills in languages like Python and R. Their role is critical for developing trading strategies, risk management, and decision-making processes, often requiring advanced degrees and certifications such as CFA or FRM. The demand is expected to grow as organizations increasingly rely on data-driven insights.

What cities are hiring for Principal Quantitative Analyst jobs?

Cities with the most Principal Quantitative Analyst job openings:

What are popular job titles related to Principal Quantitative Analyst jobs?

For Principal Quantitative Analyst jobs, the most frequently searched job titles are:

Infographic showing various Principal Quantitative Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Sr. Quantitative Model Analyst

Cincinnati, OH • On-site

Federal Home Loan Bank Cincinnati
See more jobs at Federal Home Loan Bank Cincinnatiexternal

Full-time

Re-posted 8 days ago

Job description

Sr. Quantitative Model Analyst
General Summary:
Independentlyleads and assists activities related to managing and mitigating model risks, byindependently performing validations, monitoring governance, and providingguidance and expertise related to models used by the Bank. The Senior Analystcollaborates with various stakeholders to ensure the accuracy, reliability, andregulatory compliance of models used for pricing, risk measurement, anddecision-making processes.
Principal Duties andResponsibilities:
  • Model Validation and Governance: Independently perform validation and governance efforts related to Bank models. Conduct comprehensive assessments of model accuracy, reliability, and robustness. Independently perform model validation activities, including reviewing model assumptions, methodologies, and implementation. Identify limitations, weaknesses, or gaps in models and propose enhancements or alternative approaches.
  • Model Risk Management Framework: Contribute to the development and enhancement of the bank's model risk management framework, policies, and procedures. Support the implementation and management of model risk management processes, including model inventory, model change management, and ongoing model monitoring.
  • Regulatory Compliance: Coordinate with key stakeholders to ensure compliance with regulatory model risk requirements (FHFA AB 2013-07; FHFA AB 2022-03).
  • Risk Identification and Measurement: Identify and assess the risks associated with financial models, including model errors, biases, and limitations.
  • Model Documentation and Reporting: Prepare comprehensive model validation reports, documenting the validation process, findings, and recommendations.
  • Collaboration and Leadership: Collaborate with key stakeholders to provide guidance and expertise in support of a sound model risk management environment at the Bank. Provide guidance and mentorship to junior members of the model risk management team.
  • Continuous Improvement and Innovation: Stay abreast of emerging trends, industry best practices, and technological advancements in model risk management. Identify opportunities for process optimization, automation, and efficiency gains within the model risk management function and ERM department.
  • Performs additional duties as requested by management.

Minimum Knowledge,Skills and Abilities Required:
  • Knowledge at a level normally acquired through the completion of a Master's Degree in finance, economics, mathematics, statistics, or financial engineering or equivalent work experience with financial, statistical, market risk, or credit risk models. A Ph.D. in a relevant discipline is a plus.
  • At least seven years' experience in model validation and/or model development at a financial institution, rating agency, regulatory agency, or as a financial industry consultant.
  • Strong understanding of financial models and their application in areas such as pricing, risk measurement, and decision-making. Knowledge of various model types, including credit risk, market risk, and liquidity risk models.
  • Knowledge of regulatory guidelines and industry standards for model risk management, such as AB 2013-07, SR 11-7, and OCC Bulletin 2011-12, is highly desirable.
  • Proficiency in programming languages such as Python, R, or MATLAB, with experience in data manipulation, statistical analysis, and model development.
  • Advanced/Intermediate Microsoft Office skills (particularly Excel and Word)
  • Strong analytical and problem-solving skills, with the ability to critically evaluate complex models and identify potential risks.
  • Excellent written and verbal communication skills, with the ability to convey technical concepts and validation results to both technical and non-technical audiences.
  • Detail-oriented with strong organizational skills, able to manage multiple projects simultaneously and meet deadlines.
  • Ability to work collaboratively within a team environment and build effective working relationships with stakeholders at various levels.
  • Demonstrates interest in working with a variety of backgrounds and perspectives that align with the Bank's core value.
  • Promotes an environment of empathy and respect to ensure the inclusion of all team members.

Working Conditions:
Flexibilityto work outside normal business hours if required to complete time sensitiveprojects. Requires close attention to detail to ensure the accuracy andintegrity of information supplied to senior management and members.

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