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Model Risk Jobs in Pittsburgh, PA (NOW HIRING)

Solid understanding of security principles, including security controls, threat modeling, vulnerability management, and incident risk analysis. * Excellent written, verbal, and facilitation skills ...

Solid understanding of security principles, including security controls, threat modeling, vulnerability management, and incident risk analysis. * Excellent written, verbal, and facilitation skills ...

Fraud Hub Lead Engineer

Pittsburgh, PA · On-site

$99K - $131K/yr

... model risk management, and operational excellence across all Fraud technology. • Own the end‑to‑end architecture, build, and operation of scalable, real‑time Fraud detection and decisioning ...

Strong understanding of risk frameworks (e.g., COSO ERM, ISO 31000) or governance models. * Certification or progress toward certification (e.g., CRMA, CISA, CPA or similar) is a plus. Skills ...

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Model Risk information

See Pittsburgh, PA salary details

$14

$29

$71

How much do model risk jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for model risk in Pittsburgh, PA is $29.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $37.60 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals working in Model Risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

What are the key skills and qualifications needed to thrive as a Model Risk Analyst, and why are they important?

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.
What are popular job titles related to Model Risk jobs in Pittsburgh, PA? For Model Risk jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Model Risk jobs in Pittsburgh, PA look for? The top searched job categories for Model Risk jobs in Pittsburgh, PA are:
Bank Investment Risk Specialist Senior

Bank Investment Risk Specialist Senior

PNC Bank

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 339 frontline employees who took The Breakroom Quiz

78th of 144 rated banks


Job description

Job Description

The PNC Financial Services Group, Inc. seeks a Bank Investment Risk Specialist Senior in Pittsburgh, PA. Work within the Market Risk Management department and provide advanced quantitative and financial analyses utilizing financial risk modeling software programs and modeling tools in support of monitoring market risk. Specific duties include: (1) operating financial models related to market risk, liquidity risk, capital adequacy, regulatory reporting requirements and/or credit/counterparty exposures; (2) maintaining risk management models including review and validation of data sources, documentation, outputs; (3) analyzing results of various processes such as Value-at-Risk (VaR) models, Potential Future Exposure (PFE) models, economic capital models, liquidity stress tests, backtesting and/or P&L attribution to support current regulatory requirements; (4) assessing and understanding movements in risk parameters and their impact on risk; (5) leading and executing analytical projects, from solution design and data integrity evaluation through documentation and implementation; (6) partnering with model developers to design and user acceptance test new market risk models; and (7) developing reporting infrastructure, including databases, for financial products, leveraging knowledge of computational methodologies and assisting other business groups to better utilize system capabilities and meet requirements.

Master's degree in Computational Finance, Financial Engineering, Statistics, or Applied Mathematics plus 1 year of financial industry experience relevant to market risk management involving capital analysis, risk evaluation, and statistical modeling is required. Must have experience with: (1) financial instruments and markets including interest-rate risk, and corporate credit risk management concepts including asset pricing, portfolio analysis, Value at Risk and stress testing; (2) markets and valuation for financial products including fixed income securities; (3) statistical methods for analyzing financial data including regression, statistical inference, and time series analyses using statistical languages; (4) probabilistic techniques for finance including financial models that rely on stochastic calculus; (5) capital assessment using quantitative methods to evaluate risk exposures and support compliance with risk-based capital framework; (6) managing and reconciling complex financial datasets, streamlining data aggregation and reporting, and resolving discrepancies to ensure data accuracy; and (7) financial computing and analysis of financial data using VBA.

Must have knowledge of: (1) numerical methods for finance including Monte Carlo and optimization methods and finite difference methods for partial differential equations; and (2) financial computing and analysis of financial data using languages including SQL, R, C++, and Python.

Benefits

PNC offers employees a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include medical/prescription drug coverage (with a Health Savings Account feature); dental and vision options; employee and spouse/child life insurance; short- and long-term disability protection; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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