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Director Risk Analytics Jobs in Connecticut (NOW HIRING)

Cna

Risk Control Consultant

Glastonbury, CT · On-site

$72K - $141K/yr

Reporting Relationship Typically Director or above Skills, Knowledge & Abilities 1. Advanced ... analytical and problem solving skills. 5. Ability to deal with ambiguous situations and issues. 6. ...

CNA

Risk Control Consultant

Glastonbury, CT · On-site

$72K - $141K/yr

Reporting Relationship Typically Director or above Skills, Knowledge & Abilities 1. Advanced ... analytical and problem solving skills. 5. Ability to deal with ambiguous situations and issues. 6. ...

World Wide Technology

... will have a direct impact on the company's success. If you are passionate about technology and ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

World Wide Technology

... will have a direct impact on the company's success. If you are passionate about technology and ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

World Wide Technology

... will have a direct impact on the company's success. If you are passionate about technology and ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

World Wide Technology

... will have a direct impact on the company's success. If you are passionate about technology and ... Use internal and external threat intelligence, risk insights, and adversary behavior research to ...

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All JobsRisk Analytics JobsDirector Risk Analytics JobsDirector Risk Analytics Jobs in Connecticut

Director Risk Analytics information

See Connecticut salary details

$10.5K

$135.1K

How much do director risk analytics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director risk analytics in Connecticut is $134,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,100.00 and $134,100.00 per year, depending on experience, location, and employer.

What does a director risk analytics do?

A Director of Risk Analytics leads a team responsible for identifying, assessing, and mitigating risks that could impact an organization's financial health or operations. They use data analysis and statistical models to evaluate potential threats, develop risk management strategies, and report findings to senior leadership. This role often collaborates with other departments to implement risk controls and ensure compliance with industry regulations. Additionally, the Director of Risk Analytics stays updated on emerging risks and adapts analytics frameworks accordingly to protect the organization.

What are the key skills and qualifications needed to thrive as a director risk analytics?

To thrive as a Director of Risk Analytics, you need deep expertise in quantitative analysis, risk management frameworks, and a relevant advanced degree such as a master's or PhD in finance, mathematics, or statistics. Familiarity with risk modeling tools, statistical software (like SAS, R, or Python), and regulatory compliance systems is typically required. Outstanding leadership, strategic thinking, and effective communication skills distinguish top performers in this role. These capabilities are crucial for accurately assessing risk, leading analytical teams, and supporting informed decision-making across the organization.

How does a director risk analytics typically collaborate with other departments within an organization?

A Director of Risk Analytics frequently works cross-functionally, partnering with departments such as finance, compliance, IT, and operations to identify, assess, and mitigate risks. This role often leads discussions with business leaders to understand strategic objectives and develop data-driven risk management solutions. Effective collaboration ensures that risk policies are aligned with organizational goals and that analytics insights are integrated into decision-making processes across the company. Regular meetings, presentations of risk reports, and joint projects are common ways this collaboration is achieved.

What is the difference between Director Risk Analytics vs Risk Analyst?

AspectDirector Risk AnalyticsRisk Analyst
Required CredentialsBachelor's/Master's in Finance, Economics, or related; often certifications like FRM or CFABachelor's degree in Finance, Economics, or related; certifications like FRM or CFA are a plus
Work EnvironmentStrategic leadership, overseeing teams, high-level decision makingData analysis, risk assessment, reporting
Employer & Industry UsageFinancial institutions, insurance companies, large corporationsFinancial firms, banks, investment companies

The main difference between a Director Risk Analytics and a Risk Analyst lies in their level of responsibility and scope. Directors focus on strategic risk management, leading teams and making high-level decisions, while Risk Analysts handle data analysis and risk assessment tasks. Both roles require similar credentials, but the Director role involves more leadership and strategic planning.

What are the most commonly searched types of Risk Analytics jobs in Connecticut?

The most popular types of Risk Analytics jobs in Connecticut are:

What are popular job titles related to Director Risk Analytics jobs in Connecticut?

For Director Risk Analytics jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Director Risk Analytics jobs in Connecticut look for?

The top searched job categories for Director Risk Analytics jobs in Connecticut are:

What cities in Connecticut are hiring for Director Risk Analytics jobs?

Cities in Connecticut with the most Director Risk Analytics job openings:

Director Risk Analytics jobs near you

Director Quant Engineer, Finance Analytics

Webster Bank

Stamford, CT • On-site

Full-time

Posted 23 days ago

Webster Bank rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

123rd of 171 rated banks

Job description

If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster's values, these set us apart as a bank and as an employer.
Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!
The role involves gathering and understanding FP&A business requirements; Webster's data systems and tools; designing coding and maintaining data workflows; anticipating and resolving data challenges; user-friendly reports and dashboards; and clearly communicating results. The individual needs to collaborate with IT, Data Team, and LoB partners in developing data workflows, data analysis and reporting. The scope includes working across one or more of our main verticals: R&D, Quarterly Production, and/or Credit Scorecards. The Quant Engineer role is right for you if you're a "hands-on" coder and analyst, who takes ownership and puts the business first.
Job Description Summary
If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first, doing whatever we can to help individuals, families, businesses, and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, and Excellence are Webster's values that set us apart as a bank and as an employer.
Come join our Financial Planning & Analysis (FP&A) team, where you can expand your career potential, benefit from robust development opportunities, and enjoy meaningful work. We are seeking a Director, Quant Engineer, Finance Analytics to serve as a key technical leader responsible for designing, developing, and maintaining data workflows, analytical solutions, and reporting capabilities that support critical FP&A initiatives.
This role requires a hands-on engineer and analyst who can effectively partner with Finance, IT, Data Management, Risk, and business stakeholders to translate business requirements into scalable data and analytics solutions. The successful candidate will leverage Webster's data systems and tools to support key functions including Research & Development (R&D), Quarterly Production, and Credit Scorecards while driving innovation, automation, and operational excellence across the FP&A organization.
Primary Responsibilities
  • Gather, analyze, and document FP&A business requirements and translate them into scalable analytical and technical solutions.
  • Design, develop, implement, and maintain robust data workflows supporting financial planning, forecasting, reporting, and credit analytics.
  • Lead the development, implementation, and maintenance of CECL credit loss models supporting regulatory reserving, stress testing, and underwriting activities.
  • Personally participate in coding, testing, deployment, and maintenance of analytical models, workflows, and production processes.
  • Develop deep expertise in Webster's data platforms, systems, tools, and reporting environments.
  • Partner with IT, Data Management, Finance, Risk, and business stakeholders to develop data architectures, workflows, and reporting solutions.
  • Create intuitive reports, dashboards, and data visualizations that enable effective decision-making across the organization.
  • Anticipate, identify, and resolve data quality, workflow, and operational challenges impacting model and reporting processes.
  • Maintain comprehensive workpapers and development documentation supporting governance, audit, validation, and regulatory requirements.
  • Author technical documentation detailing model design, development, testing, implementation, and ongoing enhancements.
  • Effectively communicate analytical findings, technical concepts, and business insights to both technical and non-technical audiences.
  • Lead and/or participate in discussions with Executive Management, Model Risk Management, Audit, Regulatory, and cross-functional project teams.
  • Drive continuous improvement initiatives by identifying opportunities to automate processes and enhance analytical capabilities.

Required Skills & Experience
  • 10+ years of software engineering, data engineering, analytics, or quantitative modeling experience within a commercial bank or financial institution.
  • Strong experience working with complex relational databases and large-scale data structures using Oracle, SQL, or similar technologies.
  • Advanced proficiency in Python, SAS, and/or R programming languages.
  • Experience designing, implementing, and maintaining efficient and scalable data workflows.
  • Experience with workflow orchestration tools such as Apache Airflow or similar platforms.
  • Strong understanding of software development lifecycle methodologies, coding standards, testing frameworks, and deployment practices.
  • Experience building analytical solutions supporting financial, credit risk, forecasting, or reporting functions.
  • Knowledge of commercial and consumer banking products, processes, and operations.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Demonstrated ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.
  • Excellent written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
  • Strong attention to detail and commitment to data quality and accuracy.

Preferred Skills & Experience
  • Experience supporting CECL, stress testing, underwriting, loss forecasting, or credit risk analytics functions.
  • Knowledge of dashboarding and reporting tools such as Tableau, Qlik Sense, or similar business intelligence platforms.
  • Experience supporting model governance, validation, audit, and regulatory review processes.
  • Strong understanding of financial planning and analysis processes within a banking environment.
  • Experience developing enterprise-scale data platforms and analytical solutions.
  • Proven ability to collaborate effectively across Finance, Risk, IT, Data Management, and business organizations.
  • Strong project leadership and stakeholder management skills.
  • Experience driving process automation and workflow optimization initiatives.
  • Familiarity with model risk management frameworks and regulatory expectations.

Education
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, Economics, or a related quantitative field required.
  • Master's degree in a quantitative discipline preferred.
  • Equivalent combinations of education, technical training, and relevant professional experience will be considered.

The estimated salary range for this position is $160,000 USD to $180,000 USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.
Webster Financial Corporation and its subsidiaries ("Webster") are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

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