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Evening Counterparty Risk Analyst Jobs in Washington, DC

Collaborate with the Counterparty Credit Risk Management (CCRM) Team to gain in-depth understanding of various types of financial institutions (e.g. Mortgage Banks, Depository Institutions, Insurers ...

On-going monitoring of customers, including counterparty compliance calls, assessing of ... Recommending appropriate risk-based business actions to be taken to onboard customer and/or on ...

... risk and funding costs. You'll lead the execution of derivative strategies tied to secured and ... Monitor derivative valuation, counterparty exposure, collateral requirements, and related internal ...

Monitor and enforce counterparty compliance with contract deliverables, including energy delivery ... Coordinate with Meta's Energy Analytics team, market-participating affiliate, and/or third-party ...

Showing results 21-40

Evening Counterparty Risk Analyst information

See Washington, DC salary details

$17

$45

$74

How much do evening counterparty risk analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for evening counterparty risk analyst in Washington, DC is $45.85, according to ZipRecruiter salary data. Most workers in this role earn between $33.75 and $55.82 per hour, depending on experience, location, and employer.

What is the difference between Evening Counterparty Risk Analyst vs Credit Risk Analyst?

AspectEvening Counterparty Risk AnalystCredit Risk Analyst
CertificationsFRM, CFA often preferredFRM, CFA often preferred
Work EnvironmentFinancial institutions, trading floors, risk departmentsBanking, investment firms, financial institutions
Primary FocusMonitoring counterparty exposures, assessing risks of trading partnersAssessing creditworthiness of borrowers and issuers

The Evening Counterparty Risk Analyst and Credit Risk Analyst roles share similar certifications and work environments within financial institutions. However, the Evening Counterparty Risk Analyst primarily focuses on monitoring counterparty exposures in trading activities, especially during evening hours, while the Credit Risk Analyst evaluates the creditworthiness of clients and issuers. Both roles require strong analytical skills and risk management expertise, but their specific focus areas differ within the broader risk management field.

What are the most commonly searched types of Counterparty Risk Analyst jobs in Washington, DC?

The most popular types of Counterparty Risk Analyst jobs in Washington, DC are:

Infographic showing various Evening Counterparty Risk Analyst job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $95,375 per year, or $45.9 per hour.

Quantitative Analytics Senior

Freddie Mac

Mclean, VA • On-site

Full-time

Re-posted 9 days ago


Freddie Mac rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


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:
Freddie Mac's Investments & Capital Markets Division is currently seeking a Quantitative Analytics Senior to be responsible for the creation, development, and execution of analytic models used to value Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) of various types of financial institutions.
The candidate should be self-motivated, have a strong computational background, and effective communication skills. Under the Models & Analytics team, the candidate will support models primarily utilized by Freddie Mac's Counterparty Credit Risk Management Team. The key focus is on credit risk scorecard modeling, but the tasks may also include LGD and EAD models. The position encourages continued learning and development across other modeling areas, including market risk capital, operational loss forecast, prepayment and default, and rates and derivatives .
Our Impact:
Key focus of this job is the design, development, and implementation of counterparty credit risk models for a variety of financial institutions, with primary focus on Probability of Default modeling.
These models support multiple corporate and divisional objectives by providing key inputs into counterparty credit risk management, both at individual counterparty and portfolio levels.
Your Impact:
  • Design, code and maintain consistent counterparty credit risk models (PD/LGD/EAD).
  • These models must incorporate best practices while simultaneously accounting for the unique characteristics and risks of each financial institution.
  • Collaborate with the Counterparty Credit Risk Management (CCRM) Team to gain in-depth understanding of various types of financial institutions (e.g. Mortgage Banks, Depository Institutions, Insurers) in order to appropriately model unique associated risks.
  • Design and code model enhancements to address agreed-upon actions (AUAs) in response to findings from model reviewers, internal auditors, and regulatory examiners.
  • On a quarterly basis, design and run Performance Monitoring Reports, respond to questions from business users, model validation, audit, and model risk oversight.
  • Periodically review and understand changes of relevant corporate policies, standards and procedures and act as a liaison in associated model implementation validation.
  • Own other standard parts of modeling job such as understanding and complying with all official model controls related to models owned by the team.
  • Collaborate with the 1st line Model Governance team in I&CM to ensure that counterparty models adhere to Freddie Mac's model governance standards.
  • Proactively partner with teammates and users to co-develop unique approaches and facilitate ideas.

Qualifications:
  • PhD in economics, finance, statistics, or a related quantitative discipline, or Master's degree with 3+ years of relevant experience.
  • Demonstrated knowledge of Econometrics modeling techniques.
  • Outstanding quantitative, empirical analysis, and research skills
  • Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may include--but is not limited to-econometrics, statistics, mathematical programming, optimization, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
  • Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include--but are not limited to--Python, R, SQL, and MATLAB.
  • Strong Programming skills is a must! Python and SQL are most frequently used; other useful languages and software available in the company include Java, SAS, MATLAB, C.
  • Experience with mortgage modeling and analytics preferred.

Keys to Success in this Role:
  • Strong programming skills
  • Strong technical skills (stats, math)
  • Strong analytical skills with orientation to detail
  • Good verbal and written communication skills

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: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 $126,000 - $190,000 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