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Manager Model Risk Management Jobs in Manchester, NH

Manager Application Security

Manchester, NH · On-site +1

$133K - $190K/yr

... risk management engagements Translate technical security risks into clear, business relevant ... models Strong experience partnering with engineering teams to drive secure by design outcomes ...

Manager Application Security

Manchester, NH · On-site +1

$133K - $190K/yr

... risk management engagements Translate technical security risks into clear, business relevant ... models Strong experience partnering with engineering teams to drive secure by design outcomes ...

Program Manager IV

Exeter, NH · On-site

$125K - $155K/yr

Administer the project risk management process and prepare risk management plans * Analyze plans, specifications, proposals, and other documentation to prepare bid estimates for projects * Assess ...

New

As a half a billion dollar IT company, Collabera's client-centric business model, commitment to ... area of risk management, including the assessment, communication, and mitigation of risks ...

Legal Manager

Lawrence, MA · On-site

$85K - $100K/yr

Working knowledge of compliance, risk management, and corporate governance best practices. * Experience managing outside counsel and legal budgets. * Ability to translate legal concepts into ...

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Showing results 1-20

Manager Model Risk Management information

See Manchester, NH salary details

$43.3K

$103.3K

$166.8K

How much do manager model risk management jobs pay per year?

As of Jul 17, 2026, the average yearly pay for manager model risk management in Manchester, NH is $103,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $131,400.00 per year, depending on experience, location, and employer.

What is the difference between Manager Model Risk Management vs Model Risk Analyst?

AspectManager Model Risk ManagementModel Risk Analyst
CredentialsTypically requires advanced degrees (e.g., MBA, Master's in Finance or Risk), certifications like FRM or CFAOften requires similar credentials, such as FRM or CFA, but may have less emphasis on managerial certifications
Work EnvironmentLeads teams, manages risk frameworks, and interacts with senior managementPerforms detailed risk analysis, supports model validation, and reports findings
Employer & Industry UsageCommon in banking, asset management, and financial institutionsFound in similar environments, often as a supporting role to managers

The Manager Model Risk Management oversees the entire model risk framework, manages teams, and interacts with senior stakeholders. In contrast, the Model Risk Analyst focuses on detailed analysis, validation, and reporting of models. Both roles require similar credentials but differ in scope and responsibilities.

What are popular job titles related to Manager Model Risk Management jobs in Manchester, NH? For Manager Model Risk Management jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Manager Model Risk Management jobs in Manchester, NH look for? The top searched job categories for Manager Model Risk Management jobs in Manchester, NH are:
Senior Manager, Fraud Detection and Analytics

Senior Manager, Fraud Detection and Analytics

Fidelity Investments

Merrimack, NH • On-site

Full-time

Posted 29 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services


Job description


Senior Manager, Fraud Detection and Analytics
Note: Fidelity will not provide immigration sponsorship for this position.
The Role
The Fraud Risk and Control (FRC) Detection Team is responsible for identifying and mitigating fraudulent activity, focusing on unauthorized account access and suspicious behavior. The team uses a combination of vendor technologies and internally developed models to enable real-time detection and intervention across the customer lifecycle.
As a Senior Manager, Fraud Detection and Analytics, you will collaborate with data scientists, fraud strategists, and business stakeholders to support and enhance real-time fraud detection strategies. Your work will focus on uncovering patterns related to account takeovers, and coordinated fraud attacks using advanced analytics and large-scale data
  • Analyze complex datasets to detect patterns and trends related to account takeover and scam-related fraud.
  • Use Python, SQL, and other analytical tools to extract actionable insights from large volumes of data.
  • Evaluate and optimize vendor and internal tools to improve detection of fraudulent behaviors across digital experiences.
  • Support anomaly detection efforts to identify organized fraud rings and coordinated attacks.
  • Communicate findings clearly to influence stakeholders and guide fraud prevention strategies.
  • Partner with cross-functional teams to develop and refine fraud detection models, dashboards, and reporting tools.
  • Contribute to the continuous improvement of fraud analytics capabilities and operational effectiveness.

The Expertise and Skills You Bring
  • 7+ years of experience in data analytics, preferably within fraud detection, risk management, or cybersecurity.
  • Strong proficiency in Python and SQL for data analysis and automation.
  • Experience working with large-scale datasets and modern data platforms.
  • Skilled in using analytics tools for statistical analysis, visualization, and reporting.
  • Familiarity with fraud detection methodologies, especially related to account compromise and scams.
  • Ability to translate complex data into clear, actionable insights for technical and non-technical audiences.
  • Strong communication and collaboration skills to work effectively across teams.
  • Experience in anomaly detection or behavioral analytics is a plus.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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