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Model Risk Manager Jobs in Citrus Heights, CA (NOW HIRING)

Cordoba Corporation

Risk Cost Analyst

Sacramento, CA · Hybrid

$70K - $110K/yr

... cost modeling and scenario analysis * Assist in integrating risk findings into cost estimates ... Familiarity with risk management and cost analysis concepts * Strong organizational, communication ...

Cordoba Corporation

Risk Cost Analyst

Sacramento, CA · Hybrid

$70K - $110K/yr

... cost modeling and scenario analysis * Assist in integrating risk findings into cost estimates ... Familiarity with risk management and cost analysis concepts * Strong organizational, communication ...

Cordoba Corporation

Risk Cost Analyst

Sacramento, CA · On-site

$70K - $110K/yr

... cost modeling and scenario analysis * Assist in integrating risk findings into cost estimates ... Familiarity with risk management and cost analysis concepts * Strong organizational, communication ...

Luster National

Risk Cost Analyst

Sacramento, CA

$42 - $57/hr

... cost modeling and scenario analysis * Assist in integrating risk findings into cost estimates ... Bachelor's degree in engineering, construction management, finance, business, or related field, or ...

Luster National

Risk Cost Analyst

Sacramento, CA · On-site

$42 - $57/hr

... cost modeling and scenario analysis * Assist in integrating risk findings into cost estimates ... Master's degree in engineering, construction management, finance, or business. * Active ...

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Showing results 21-40

All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Citrus Heights, CA

Model Risk Manager information

See Citrus Heights, CA salary details

$53.4K

$115.7K

$176.4K

How much do model risk manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for model risk manager in Citrus Heights, CA is $115,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,400.00 and $133,800.00 per year, depending on experience, location, and employer.

What are common challenges a model risk manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What skills and qualifications are needed to be a model risk manager?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a model risk manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What are popular job titles related to Model Risk Manager jobs in Citrus Heights, CA? For Model Risk Manager jobs in Citrus Heights, CA, the most frequently searched job titles are:
What cities near Citrus Heights, CA are hiring for Model Risk Manager jobs? Cities near Citrus Heights, CA with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Infographic showing various Model Risk Manager job openings in Citrus Heights, CA as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $115,727 per year, or $55.6 per hour.

Principal Risk & Compliance Quantitative and Modeling Analyst - Location Flexible

PG&E Corporation

West Sacramento, CA • Hybrid

$238K/yr

Full-time

Re-posted 19 days ago

Job description

Requisition ID # 172735 

Job Category: Compliance / Risk / Quality Assurance; Accounting / Finance; Business Operations / Strategy 

Job Level: Manager/Principal

Business Unit: Strategy & Growth

Work Type: Hybrid

Job Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Pleasanton; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramenti; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City

Department Overview:

The Electric Risk & Compliance organization provides governance, oversight, and strategic direction on risk and compliance matters across Electric Operations, ensuring alignment with enterprise policies and external/internal regulatory requirements. It partners cross-functionally to manage compliance requirements, strengthen controls, and enable risk-based oversight through effective monitoring, data, and reporting. The Compliance Insights team provides strategic, comprehensive data analysis, reporting, and data-driven insights that support Electric compliance, investigations, and risk management.

The selected candidate must live within PG&E’s service territory, and will be expected to work in the office 2-3 times a week.

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.

A reasonable salary range is:

Minimum Base Salary (Bay Area)            $140,000.00

Mid Base Salary (Bay Area)        $189,000.00

Maximum Base Salary (Bay Area)           $238,000.00

Minimum Base Salary (California)         $133,000.00

Mid Base Salary (California)      $180,000.00

Maximum Base Salary (California)        $226,000.00

Responsibilities:

  • Lead development of risk metrics and stress scenarios
  • Lead development of commodity prices, derivatives and transactions as needed to analyze and quantify risks.
  • Lead development of framework for implementing tools and processes to improve quality and timeliness of risk reports.
  • Lead design of analytical and diagnostic tools to ensure accuracy and timely computation of risk metrics and facilitate analyses of portfolios.
  • Lead assessment of the effectiveness of hedging strategies and programs.
  • Lead development and enhancement of quantitative models to support forecasting, valuation, and portfolio risk assessment.
  • Provide analytical support and quantitative risk assessments to inform business decisions and address emerging issues.
  • Lead development of risk-informed compliance frameworks to align analytical insights with regulatory requirements and support effective governance and oversight.
  • Lead horizon scanning activities to identify emerging risks, market developments, and regulatory changes that may affect portfolio strategy and risk exposure.
  • Develops and leads compelling data-driven business cases for or against specific courses of action and potential risk mitigation alternatives as appropriate; provides strategic direction regarding areas of NERC compliance in common with CPUC, OEIS, and CAISO.
  • Leads annual gap analysis; identifies gaps between compliance requirements and guidance documentation.
  • Develops, monitors, analyzes, and reports on business KPIs and indicators, that may affect the Company’s ability to meet its goals.

Qualifications

Minimum:

  • Bachelor’s Degree in Information Systems, Business, Engineering, Financial Engineering, Economics, Statistics, or Mathematics or equivalent experience
  • 8 years of experience in risk analytics development and modeling
  • 2 years managing projects

Desired:

  • Master’s degree or equivalent experience
  • Electrical engineer with experience in the utility industry to support technical interpretations and implementation of new compliance requirements.
  • Proven risk control and system design skills
  • Proven project management skills.
  • Demonstrated ability to abstract or synthesize from one set of ideas or facts to another, identify causal relationships, and anticipate obstacles.
  • Communicates with peers, subordinates, leadership, and stakeholders, using a variety of media and conveying information or conclusions in a clear, direct manner.
  • Ability to maneuver through complex organizational situations effectively and without disruption.
  • Understands and can communicate the company's overall goals and strategies.
  • Ability to analyze complex problems and make decisions despite incomplete information and limited time.
  • Highly advanced analytical, program management, and communications skills
  • Ability to manipulate data and draw conclusions / make recommendations

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