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Associate Quantitative Risk Analyst information

What are some common challenges faced by associate quantitative risk analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

What is an associate quantitative risk analyst?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an associate quantitative risk analyst?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
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Associate Quantitative Risk Analyst jobs near you

Principal Risk & Compliance Quantitative and Modeling Analyst - Location Flexible

PG&E Corporation

Bakersfield, CA • Hybrid

$238K/yr

Full-time

Re-posted 20 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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