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Model Risk Manager Jobs in Enfield, CT (NOW HIRING)

The Hartford

Senior Risk Analyst, CAT

Hartford, CT

The Senior Risk Analyst will support reporting of key catastrophe modeling metrics for Middle and Large Business . The position will report to the Senior Director of ERM Insurance Risk Management. We ...

Pwc

Senior Manager, Internal Investigations

Hartford, CT · On-site

$91K - $321K/yr

Industry/Sector Not Applicable Specialism IFS - Risk & Quality (R&Q) Management Level Senior ... Modeling and reinforcing professional and technical standards, including the Firm's code of conduct ...

IFG Companies

Risk Management Actuary

Hartford, CT · On-site

$150K - $200K/yr

Draft POSITION SUMMARY The Risk Management Actuary ("RMA") plays a key role in supporting IFG ... Collaborating with Pricing, Reserving and Modeling Actuaries to ensure consistency of data ...

The Hartford

AVP Applied AI, Small Business

Hartford, CT · On-site +1

Deep familiarity with AI governance, model risk management, responsible AI practices, and compliancebydesign expectations. * Demonstrated success translating strategy into coordinated execution and ...

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

Deep familiarity with AI governance, model risk management, responsible AI practices, and compliancebydesign expectations. * Demonstrated success translating strategy into coordinated execution and ...

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All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Enfield, CT

Model Risk Manager information

See Enfield, CT salary details

$52.2K

$113.2K

$172.5K

How much do model risk manager jobs pay per year?

As of Jul 10, 2026, the average yearly pay for model risk manager in Enfield, CT is $113,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $130,900.00 per year, depending on experience, location, and employer.

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

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 cities near Enfield, CT are hiring for Model Risk Manager jobs? Cities near Enfield, CT with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Senior Sales Executive, Risk Data Solutions (SaaS, Climate, Property Risk)

Senior Sales Executive, Risk Data Solutions (SaaS, Climate, Property Risk)

Swiss Re

Windsor, CT

$152K - $228K/yr

Other

Re-posted 18 days ago

Job description

Swiss Re is building a next-generation platform for corporates combining proprietary risk data, advanced analytics, and deep risk expertise to deliver actionable insights at scale. We are now looking for a high-performing sales hunter to lead new business acquisition across the United States.

About the Role

This is a rare opportunity to take an emerging, high-value proposition to market and win strategic, first-of-their-kind deals with large corporates! You will operate in a greenfield environment, shaping the go-to-market, opening new logos, and helping scale a business at the intersection of risk, data, and technology.

Key responsibilities include:

  • Own new logo acquisition across the United States, targeting large corporates and risk leaders (CROs, CFOs, Heads of Risk)
  • Build and execute a territory and account penetration strategy to exceed revenue targets
  • Originate, develop, and close complex enterprise deals
  • Establish and manage senior C-level relationships
  • Lead cross-functional deal teams across product, underwriting, engineering, and partners
  • Shape compelling commercial propositions and business cases
  • Bring market feedback into product development
  • Define and scale repeatable go-to-market approaches

What Makes This Role Different?

  • Greenfield builder role - not account management
  • Opportunity to land flagship clients
  • Backed by Swiss Re's brand and data capabilities
  • Exposure to climate, supply chain, and property risk topics

About You

You have a proven track record of winning new logos and successfully closing early-stage or category-creating deals.  You possess strong C-level engagement skills and solid ability to effectively lead complex deal teams.  Thriving in ambiguous, fast-moving environments, you bring a strategic mindset to drive growth!

Additional Requirements Include:

  • 5-10+ years in enterprise new business sales
  • Experience selling enterprise SaaS, data, AI, or cloud platforms
  • Consistent quota overachievement
  • US enterprise sales experience preferred
  • Fluent business English

Nice to Have:

  • Understanding of commercial risk or insurance markets
  • Exposure to climate, supply chain, or property risks
  • Experience selling to risk management, finance, or operations executives

Working Model

  • US-based, covering a designated territory
  • Travel up to 30%

About the Team

The Risk Data Solutions (RDS) team is on a mission to revolutionize how corporates understand and manage risk with bold, innovative solutions designed to deliver outstanding risk insights and expertise to corporate customers We are a team of builders, thinkers, and doers who are passionate about creating something genuinely new in the risk intelligence space. Joining RDS means being part of something from the ground up, backed by the credibility and capabilities of Swiss Re.

The estimated base salary range for this position in Kansas City, Chicago, Windsor, CT and Alpharetta $140,000 to $210,000 and for Armonk, New York and Los Angeles is $152,000 to $228,000.  The specific salary offered for this or any given role will take into account a number of factors including but not limited to job location, scope of role, qualifications, complexity/specialization/scarcity of talent, experience, education, and employer budget.  At Swiss Re, we take a "total compensation approach" when making compensation decisions. This means that we consider all components of compensation in their totality (such as base pay, short-and long-term incentives, and benefits offered), in setting individual compensation.

About Swiss Re

Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.
During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.
 

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords: SaaS, Climate, Property Risk 
Reference Code: 138118 

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