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Barclays Quantitative Analytics Analyst Jobs (NOW HIRING)

Freddie Mac

Quantitative Analytics Professional

Mclean, VA · On-site

$105K - $157K/yr

We are seeking a Quantitative Analytics Professional who will be responsible for engaging the key Multifamily business partners to ensure the reasonableness and consistency of quantitative models ...

PNC Bank

As a Quantitative Analytics & Model Analyst Senior within PNC's Data Model Analytics organization, you will be based in Pittsburgh or Philadelphia, PA; Cleveland, OH; or Tyson's Corner, VA. Key ...

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Barclays Quantitative Analytics Analyst information

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$56.5K

$133.9K

$240K

How much do barclays quantitative analytics analyst jobs pay per year?

As of Jul 25, 2026, the average yearly pay for barclays quantitative analytics 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.

How does a Quantitative Analytics Analyst at Barclays typically collaborate with trading and risk management teams?

As a Quantitative Analytics Analyst at Barclays, you will frequently work alongside trading and risk management teams to develop, implement, and refine quantitative models that inform crucial business decisions. Collaboration often involves translating complex financial theories into practical tools, troubleshooting model performance, and providing analytical support during market events. Regular communication is essential, as you'll need to explain your methodologies and findings to both technical and non-technical stakeholders, ensuring alignment across departments. This cross-functional teamwork not only enhances your analytical skills but also deepens your understanding of financial markets and risk management practices.

What does a Barclays Quantitative Analytics Analyst do?

A Barclays Quantitative Analytics Analyst develops and implements mathematical models and quantitative tools to support trading, risk management, and investment strategies within the bank. They analyze large data sets, perform statistical analysis, and create algorithms to identify trends and improve financial decision-making. Their work often involves collaborating with traders, risk managers, and technology teams to ensure models are robust and aligned with business objectives.

What is the difference between Barclays Quantitative Analytics Analyst vs Barclays Quantitative Research Analyst?

AspectBarclays Quantitative Analytics AnalystBarclays Quantitative Research Analyst
Required CredentialsDegree in Mathematics, Statistics, or Finance; often requires coding skillsSimilar educational background; strong quantitative and programming skills
Work EnvironmentFocuses on developing models for trading, risk management, and pricingEmphasizes research, model development, and theoretical analysis
Employer & Industry UsageUsed across trading desks, risk management, and quantitative teamsPrimarily in research divisions, developing new models and strategies

While both roles require strong quantitative skills and similar educational backgrounds, the Barclays Quantitative Analytics Analyst focuses on applying models to trading and risk management, whereas the Barclays Quantitative Research Analyst emphasizes developing new models and conducting theoretical research. Both positions are integral to Barclays' quantitative finance teams but serve different functions within the organization.

What are the key skills and qualifications needed to thrive as a Barclays Quantitative Analytics Analyst, and why are they important?

To thrive as a Barclays Quantitative Analytics Analyst, you need a strong background in mathematics, statistics, and finance, often supported by a quantitative degree such as mathematics, physics, computer science, or engineering. Familiarity with programming languages like Python, C++, or R, and experience with data analysis tools and financial modeling systems are typically required. Analytical thinking, problem-solving skills, and effective communication set outstanding candidates apart in this role. These skills and qualifications are essential for developing robust models that drive strategic financial decisions and manage risk in a competitive banking environment.
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Barclays Quantitative Analytics Analyst jobs near you
Infographic showing various Barclays Quantitative Analytics Analyst job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Analytics Professional

Quantitative Analytics Professional

Freddie Mac

Mclean, VA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
Are you passionate about data? Are you curious and analytical? Do you thrive on working in a team environment?
Freddie Mac's Multifamily Portfolio and Risk Management team needs creative, forward-thinking individuals like you! We are seeking a Quantitative Analytics Professional who will be responsible for engaging the key Multifamily business partners to ensure the reasonableness and consistency of quantitative models, analytics and methodologies used in risk management and decision making in Multifamily business.
Our Impact:
We are the owners and developers of all major Multifamily credit, market risk and business decision models/tools. Our goal is to develop and apply all quantitative models and advanced data science tools to facilitate Multifamily risk management and optimize portfolio strategies.
Our team is also responsible for Multifamily data analytics, regulatory capital, stress testing and business initiatives. This is an increasingly critical role given our focus on safety and soundness in multifamily business as well as the emerging risk management under the dynamical market environment.
Your Impact:
  • Lead efforts on data strategy, analytical tool design, and uses of Multifamily models; provide thoughtful inputs on development of Multifamily data, advanced analytics, and model assumptions/methodology.
  • Lead best practices and improvement of Multifamily data management and analytical products to ensure adherence to industry standards and regulatory compliances.
  • Collaborate with cross-functional teams to implement data strategy and enhance data uses and data-driven culture.
  • Design and implement viable analytical tools/applications, data research and integrated reporting platforms for Multifamily management, business users and risk managers.
  • Actively build and engage data science & engineering community through effective communication and leadership.
  • Respond quickly with a small team to urgent data analysis requests.
  • Build strong productive relationship with various stakeholders across three lines of risk governance.

Qualifications:
  • Master's degree in data science, statistics, mathematics, computer science or a related quantitative field.
  • Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include -but is not limited to-data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
  • Demonstrated experience and expertise in quantitative data management, financial model development, credit risk evaluation and model risk management.
  • Proficiency in programming languages such as Python, SQL or Unix
  • Experience working with large data sets and relational database
  • Strong analytical and problem-solving skills with a high level of attention to details.
  • Strong interpersonal and communication skills, particularly written communication skills.
  • Self-motivated, with the capability of managing multiple priorities and efficient in proposing solutions.

Keys to Success in this Role:
  • Data-oriented mindset.
  • Intellectual agility and interpersonal flexibility.
  • Strong time-management, planning, and communication skills.
  • Extensive knowledge and experience in data-driven solutions, analytics, and software development.
  • Ability to work with and collaborate across teams and where silos exist.
  • Skilled and innovative problem solver.

Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $105,000 - $157,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
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About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970

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