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Overnight Sas Risk Analyst Jobs (NOW HIRING)

Promantis Inc

Credit Risk Analyst

Manhattan, NY · On-site

... in SAS, SQL, Python (Tableau is a plus). · Solid background in data modeling, segmentation, regression, and statistical techniques for risk decisioning. · Ability to synthesize complex analysis ...

New

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

Advanced programming skills in a statistical programming language, such as SAS, R, or Python ... Ability to write computer code to perform analysis on complex modeling and analytical challenges ...

Western Alliance Bank

Model Risk Analyst

Phoenix, AZ · On-site

Model Risk Analyst Location: CityScape What you'll do: Western Alliance Bank (WAL) is seeking a ... Intermediate to Advanced experience with Python, R, or SAS, with hands-on experience in SQL.

Continental Finance

Credit Risk Analyst

Wilmington, DE · Hybrid

We are seeking a Data Analyst to support our Credit Risk team. Seeking a Data Analyst to support ... Proficiency in SQL and at least one programming language (Python or SAS). * Strong quantitative and ...

Credit One Bank

Senior Financial Risk Analyst

Las Vegas, NV · On-site

$82K - $102K/yr

Description Position Summary The Senior Financial Risk Analyst will be responsible for managing ... Microsoft Excel, Microsoft PowerPoint, SAS or SQL * Excellent analytical, problem-solving, and ...

CreditOne

Senior Financial Risk Analyst

Las Vegas, NV · On-site

$82K - $102K/yr

Description Position Summary The Senior Financial Risk Analyst will be responsible for managing ... Microsoft Excel, Microsoft PowerPoint, SAS or SQL * Excellent analytical, problem-solving, and ...

Credit One Bank

Senior Financial Risk Analyst

Las Vegas, NV · On-site

$82K - $102K/yr

Position Summary The Senior Financial Risk Analyst will be responsible for managing existing ... Microsoft Excel, Microsoft PowerPoint, SAS or SQL * Excellent analytical, problem-solving, and ...

CoBank

Quantitative Risk Analyst

Greenwood Village, CO · On-site

$100 - $123/hr

Experience with Asset/Liability risk analyses principles such as interest rate risk, liquidity risk ... Proficiency in statistical software packages such as SAS, Matlab, R, Python, VBA, or C+

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Overnight Sas Risk Analyst information

What is the difference between Overnight Sas Risk Analyst vs Overnight SAS Risk Analyst?

AspectOvernight SAS Risk AnalystOvernight SAS Risk Analyst
CredentialsTypically requires SAS certification, risk analysis, or related degreesSame as Overnight SAS Risk Analyst
Work EnvironmentFinancial institutions, banks, or insurance companies working overnight shiftsSame as Overnight SAS Risk Analyst
Industry UsageCommonly used in finance, banking, and insurance sectorsSame as Overnight SAS Risk Analyst
Job FocusRisk assessment, data analysis, and reporting using SAS during overnight hoursSame as Overnight SAS Risk Analyst

The Overnight SAS Risk Analyst and Overnight SAS Risk Analyst are the same role, focusing on risk analysis using SAS software during overnight shifts in financial or insurance industries. Both require similar skills, certifications, and work environments, making them interchangeable in most contexts.

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What are the most commonly searched types of Sas Risk Analyst jobs?

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Overnight Sas Risk Analyst jobs near you
Infographic showing various Overnight Sas Risk Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Credit Risk Analyst

Promantis Inc

Manhattan, NY • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role: Credit Risk Analyst

Onsite

NY, NC and DE

Key Responsibilities

·        Design, implement, and validate credit risk strategies across the lifecycle (acquisition, underwriting, account management, exposure management, and collections).

·        Perform detailed portfolio analysis using internal data, bureau attributes, and alternative data to identify opportunities for growth, loss mitigation, and risk optimization.

·        Develop and enhance credit risk models and decision frameworks using advanced statistical and analytical techniques.

·        Deliver MIS reports, dashboards, and performance reviews to monitor portfolio trends, assess strategy effectiveness, and inform business decisions.

·        Collaborate with client stakeholders and cross-functional teams (Product, Finance, Operations, Compliance, Technology) to align credit strategies with business objectives.

·        Monitor regulatory and governance requirements, ensuring all strategies adhere to compliance and audit standards.

·        Drive innovation by leveraging new data sources, advanced analytics, and automation to strengthen credit risk capabilities.

·        Provide insights and recommendations to senior leadership on portfolio performance, emerging risks, and forward-looking strategies.

·        Build and nurture long-term client relationships by understanding business needs and positioning EXL’s credit risk solutions effectively.

·        Identify opportunities to expand engagements through cross-sell/up-sell of analytics, modeling, and risk consulting services.

·        Partner with business development teams to support proposal creation, client pitches, and delivery of value-driven outcomes.

Qualications

·        Bachelor’s degree in Business, Finance, Statistics, Mathematics, Engineering, or related eld; Master’s preferred.

·        7+ years of experience in credit risk strategy, credit analytics, or risk management within consulting, banking, or nancial services.

·        Strong expertise in Small and Medium Business lending products (credit cards, business loans, working capital, merchant cash advance) and credit lifecycle strategies.

·        Strong experience on working on bureau data such as D&B and SBFE .

·        Prociency in SAS, SQL, Python (Tableau is a plus).

·        Solid background in data modeling, segmentation, regression, and statistical techniques for risk decisioning.

·        Ability to synthesize complex analysis into clear recommendations for senior management.

·        Strong communication, presentation, and stakeholder collaboration skills.

·        Knowledge of credit risk regulatory requirements, governance frameworks, and emerging trends in digital lending.

·        Preferred: Experience leveraging alternative data and innovative analytical approaches in credit strategy development.

·        Proven experience in managing client accounts with a track record of delivering measurable impact.

·        Business development mindset with experience in proposal writing, solutioning, or contributing to revenue growth initiatives.

Apply