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Seasonal Quantitative Risk Modeler Jobs in California

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Seasonal Quantitative Risk Modeler information

What is the difference between Seasonal Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectSeasonal Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsBachelor's or Master’s in Finance, Mathematics, or related field; certifications like FRM or CFA often preferredBachelor's or Master’s in Finance, Mathematics, or related field; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, risk management teams, often seasonal or project-basedFinancial firms, investment banks, risk departments, with ongoing risk analysis duties
Employer & Industry UsageUsed in banking, insurance, asset management for seasonal risk assessmentCommon in banking, hedge funds, and asset management for continuous risk monitoring

The Seasonal Quantitative Risk Modeler focuses on developing models to assess risks during specific seasons or periods, often working on short-term projects. In contrast, the Quantitative Risk Analyst performs ongoing risk analysis and monitoring across various timeframes. Both roles require similar credentials but differ mainly in scope and seasonal focus.

What are the most commonly searched types of Quantitative Risk Modeler jobs in California?

The most popular types of Quantitative Risk Modeler jobs in California are:

What cities in California are hiring for Seasonal Quantitative Risk Modeler jobs?

Cities in California with the most Seasonal Quantitative Risk Modeler job openings:

Principal Risk & Compliance Quantitative and Modeling Analyst - Location Flexible

PG&E Corporation

Richmond, CA • Hybrid

$238K/yr

Full-time

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


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