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Model Risk Manager Jobs in Dover, NH (NOW HIRING)

Establish and lead enterprise-wide PMO strategy, governance, and operating model aligned with ... Lead portfolio risk management strategy, proactively identifying and mitigating risks related to ...

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Model Risk Manager information

See Dover, NH salary details

$52.6K

$113.9K

$173.6K

How much do model risk manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for model risk manager in Dover, NH is $113,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $131,700.00 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 job categories do people searching Model Risk Manager jobs in Dover, NH look for? The top searched job categories for Model Risk Manager jobs in Dover, NH are:
Infographic showing various Model Risk Manager job openings in Dover, NH as of July 2026, with employment types broken down into 81% Full Time, 12% Part Time, 4% Contract, and 3% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $113,912 per year, or $54.8 per hour.

Sales & Marketing Analytics Manager

Darling Consulting Group

Newburyport, MA • On-site

Full-time

Posted 8 days ago


Job description

Darling Consulting Group (DCG) is a leading national provider of balance sheet and model risk management consulting services and a related suite of online analytical software decision-making tools for banks and credit unions. We are seeking a progressive Sales and Marketing Analytics Manager to be a part of our sales organization to optimize our sales processes, transform our commercial intelligence capability, and accelerate lead generation through data-driven insights.
Reporting to DCG's Head of Marketing and collaborating with sales and across all departments, this role acts as the architect of our data-driven pipeline ecosystem, equally balancing data analysis, process/systems architecture, and business strategy to demonstrably turn information into revenue.
We seek a critical analytic thinker with outstanding communication skills who is passionate about working with a high-performing sales and marketing team and using data to further business goals. The ideal candidate is equal parts data analyst, process/systems architect, and business strategist.
Responsibilities:
  • Data-Driven Lead Generation: Analyze industry, client, prospect, and buyer intent data to create actionable intelligence to generate leads for the sales team.
  • Pipeline & Funnel Management: Proactively uncover whitespace and cross-selling opportunities, re-engage dormant accounts, and identify high-potential targets.
  • Campaign and Event Optimization: Work with Salesforce and HubSpot to help initiate and automate strategic marketing campaigns. Execute hands-on event planning, analysis, and coordination across sales channels.
  • CRM and Technology Platform Power User: Lead as a power user of DCG's commercial technology. Own CRM hygiene, technology stack optimization, and initiate cross-departmental collaboration to influence go-to-market strategies.
  • Reporting and KPIs: Build and deliver regular sales, funnel, opportunity, and campaign metrics reporting. Develop executive dashboards to analyze win/loss trends, channel performance, and campaign effectiveness.
  • Leverage AI-Powered Tools: Improve prospect identification, data analysis, reporting efficiency, and marketing campaign effectiveness.

Requirements
  • Experience: 5-10+ years of sales and marketing data analysis experience with a proven track record of improving lead generation in a consultative selling environment.
  • Technical Skills: Advanced MS Excel proficiency (vlookups, pivot tables), along with strong experience working with CRM applications (Salesforce preferred) and marketing automation platforms (HubSpot preferred).
  • Data Management: Expertise in collecting, organizing, and interpreting large datasets, report writing, and utilizing data visualization tools.
  • Communication: Outstanding ability to present complex data-insights clearly.
  • Mindset: A curious, confident, self-starting critical thinker who thrives in a highly collaborative, values-driven culture.
  • Bonus Qualifications: Experience working with banks or credit unions.

For more information, visit: DarlingConsulting.com/Careers