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Evening Counterparty Risk Analyst Jobs (NOW HIRING)

Aqua Finance

Counterparty Risk Analyst

The Counterparty Risk Analyst leverages data to identify, assess, and mitigate risk across borrowers, dealers, and lending channels. This role combines SQL and Python-based analysis with data ...

Qcells

Counterparty Risk Analyst (Financial)

Teaneck, NJ · On-site

$75K - $95K/yr

EnFin's Risk Analyst is responsible for the analysis, structuring, and administration of the various risk management of the installer onboarding and continuous monitoring of EnFin counterparty ...

Qcells

Counterparty Risk Analyst (Financial)

Irvine, CA · On-site +1

$75K - $95K/yr

EnFin's Risk Analyst is responsible for the analysis, structuring, and administration of the various risk management of the installer onboarding and continuous monitoring of EnFin counterparty ...

Qcells

Counterparty Risk Analyst (Financial)

Irvine, CA · On-site

$75K - $95K/yr

EnFin's Risk Analyst is responsible for the analysis, structuring, and administration of the various risk management of the installer onboarding and continuous monitoring of EnFin counterparty ...

Qcells

Counterparty Risk Analyst (Financial)

Teaneck, NJ · On-site +1

$75K - $95K/yr

EnFin's Risk Analyst is responsible for the analysis, structuring, and administration of the various risk management of the installer onboarding and continuous monitoring of EnFin counterparty ...

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

As of May 29, 2026, the average hourly pay for evening counterparty risk analyst in the United States is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $49.28 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 cities are hiring for Evening Counterparty Risk Analyst jobs? Cities with the most Evening Counterparty Risk Analyst job openings:
What are the most commonly searched types of Counterparty Risk Analyst jobs? The most popular types of Counterparty Risk Analyst jobs are:
What states have the most Evening Counterparty Risk Analyst jobs? States with the most job openings for Evening Counterparty Risk Analyst jobs include:
Evening Counterparty Risk Analyst jobs near you
Infographic showing various Evening Counterparty Risk Analyst job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 14% Part Time, and 11% Contract. Highlights an 2% Physical, 23% Hybrid, and 75% Remote job distribution, with an average salary of $84,210 per year, or $40.5 per hour.
Counterparty Risk Analyst

Counterparty Risk Analyst

Aqua Finance

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Counterparty Risk Analyst leverages data to identify, assess, and mitigate risk across borrowers, dealers, and lending channels. This role combines SQL and Python-based analysis with data visualization and modeling techniques to uncover fraud, detect anomalies, and support underwriting and dealer monitoring strategies. The ideal candidate is a curious, analytical problem-solver who can connect complex datasets, translate insights into actionable recommendations, and help drive informed, data-driven risk decisions.
Essential Functions
  • Write and maintain SQL queries to extract, transform, and analyze structured datasets (and semi-structured data where applicable).
  • Develop SQL and Python (pandas, NumPy) scripts for data processing, feature engineering, and model experimentation.
  • Integrate and analyze data across borrowers, applications, loans, dealerships, and sales channels to identify risk patterns.
  • Detect fraud, potential fraud, and anomalous activity across borrower and dealer populations.
  • Design, test, and refine risk rules and predictive models to support underwriting, fraud detection, and dealer monitoring.
  • Build dashboards and visualizations (e.g., heatmaps, Sankey diagrams) using tools such as Power BI, Tableau, Sigma, or Streamlit to communicate insights and recommendations.
  • Translate data findings into actionable insights that improve risk decisions and reduce losses.

Required Education and Experience
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, or commensurate work experience, is required
  • 5 years of experience with SQL and relational databases, required
  • 5 years of experience using Python for data analysis (pandas, NumPy, or similar, required
  • Experience building dashboards or data visualizations using BI tools (Power BI, Tableau, Sigma, Streamlit, or similar).
  • Exposure to machine learning concepts and modeling techniques (e.g., Logistic Regression, Random Forest, XGBoost).
  • Familiarity with version control tools (e.g., Git).
  • Strong problem-solving skills and ability to learn quickly.
  • Financial services or lending experience preferred.
  • Experience with Snowflake or similar cloud data platforms preferred.

Physical Demands
While performing the duties of this job, the employee is frequently required to sit, stand, walk, visualize, talk, hear, and handle or touch objects or controls. The employee may occasionally lift, push, or pull up to 20 pounds.
This position is an office-based position where you must be able to sit for long periods of time. The employee will be working on a computer 90% of the time.

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