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Model Risk Jobs in Pittsburgh, PA (NOW HIRING)

Discover, Design, develop, and execute fraud risk strategy optimization frameworks , including rule, model, and hybrid decisioning approaches * Perform entitylevel fraud state estimation across ...

Discover, Design, develop, and execute fraud risk strategy optimization frameworks , including rule, model, and hybrid decisioning approaches * Perform entitylevel fraud state estimation across ...

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

The role also contributes to model monitoring, back-testing, documentation, and interactions with risk management, audit, and regulatory partners. Candidates will have the opportunity to expand their ...

The role also contributes to model monitoring, back-testing, documentation, and interactions with risk management, audit, and regulatory partners. Candidates will have the opportunity to expand their ...

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Model Risk information

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$14

$29

$71

How much do model risk jobs pay per hour?

As of Aug 16, 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 the most commonly searched types of Model Risk jobs in Pittsburgh, PA?

The most popular types of Model Risk jobs in Pittsburgh, PA are:

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:

Infographic showing various Model Risk job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $61,258 per year, or $29.5 per hour.

Fraud Risk Analytics Manager

Citizens

Pittsburgh, PA • Hybrid

$106K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

Description

We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to developing a holistic understanding of customer behavior and translating that understanding into intelligent decisioning and colleague decision support across fraud prevention, risk management, and product experiences.

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering practical, scalable solutions under time constraints and scope changes. This individual will partner closely with business leaders, first- and second-line risk teams, fraud operations, and product to drive measurable fraud risk reduction and improved customer outcomes.

Key Responsibilities

  • Discover, Design, develop, and execute fraud risk strategy optimization frameworks, including rule, model, and hybrid decisioning approaches
  • Perform entitylevel fraud state estimation across customers, accounts, devices, and networks to enable consistent, enterprisewide fraud understanding
  • Translate complex fraud signals into actionable insights and decision support for colleagues across business, risk, and operations
  • Partner with first- and second-line risk teams to ensure strategies are transparent, explainable, and wellgoverned
  • Collaborate with operations and product teams to ensure well-defined objective functions which are operationally viable and aligned with customer experience goals
  • Communicate findings clearly to both technical and nontechnical audiences, influencing decisionmaking at multiple levels
  • Champion innovation by testing new analytical approaches while maintaining disciplined execution and production readiness

Required Qualifications

  • 5+ years of experience in fraud analytics, fraud risk management, or financial crime data science
  • Strong experience with fraud detection, prevention, and decisioning systems in complex environments
  • Demonstrated ability to balance risk reduction, customer experience, and operational efficiency
  • Proven track record of independent problemsolving, ownership, and delivery in ambiguous problem spaces
  • Excellent communications (oral and written), interpersonal/business partnering, and organizational skills
  • Demonstrates courage, innovation, and high productivity
  • Bachelor's degree in Operations Management, Mathematics, Statistics, Actuarial Sciences, Economics or other quantitative, business or technical discipline

Technical Skills

  • Advanced SQL for data extraction, transformation, and analysis
  • Strong Python skills for data analysis, modeling, and pipeline development
  • Solid foundation in data science and statistical learning, including: 
    • Classification and regression techniques
    • Feature engineering
    • Model evaluation and performance monitoring

Preferred Qualifications

  • Experience with fraud strategy optimization, challenger testing, or decision policy design
  • Familiarity with entity resolution, graph/network analytics, or customercentric risk frameworks
  • Experience operating within regulated environments and risk governance structures
  • Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative, business or technical discipline preferred

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: 8:00am-5:00pm Monday - Friday

Pay Transparency 

The salary range for this position is $106,000 - $130,000 per year. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits

This role is not eligible for new employersponsored or current H-1 B visa holders. Applicants, including current OPT, L and other visa holders, must be authorized to work in the U.S. without the need for new employer sponsorship for themselves or their spouses now and in the future.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST