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Financial Risk Manager Jobs in New Haven, CT (NOW HIRING)

Webster Bank

Analyst, Fraud Risk Management

Southington, CT · On-site

$60K - $70K/yr

... financial goals. As a leading commercial bank, we remain passionate about serving our clients and ... The Analyst Fraud Risk Management is required to analyze bank transactions, new accounts, and ...

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All JobsFinancial Risk JobsFinancial Risk Manager JobsFinancial Risk Manager Jobs in New Haven, CT

Financial Risk Manager information

See New Haven, CT salary details

$51.8K

$112.2K

$171K

How much do financial risk manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for financial risk manager in New Haven, CT is $112,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $129,700.00 per year, depending on experience, location, and employer.

What does a financial risk manager do?

A Financial Risk Manager (FRM) is responsible for identifying, analyzing, and mitigating financial risks within an organization. Their work involves assessing threats related to credit, market, operational, and liquidity risk, and developing strategies to minimize potential losses. FRMs use quantitative analysis, financial modeling, and risk assessment tools to advise decision-makers on risk exposures. They play a vital role in ensuring that a company remains compliant with financial regulations and maintains financial stability.

What are the key skills and qualifications needed to thrive as a financial risk manager?

To thrive as a Financial Risk Manager, you need a strong background in finance, quantitative analysis, and risk assessment, typically supported by a relevant degree and certifications like FRM or CFA. Expertise in risk modeling software, statistical tools such as SAS or R, and financial reporting systems is highly valued. Exceptional analytical thinking, attention to detail, and effective communication skills set top performers apart in this role. These skills and qualities are crucial for accurately identifying, assessing, and mitigating financial risks to protect organizational assets and ensure regulatory compliance.

What are some common challenges financial risk managers face when working with cross-functional teams?

Financial Risk Managers often collaborate with departments such as treasury, compliance, and IT to identify and mitigate risks. One common challenge is aligning risk management strategies with diverse departmental goals, which may sometimes conflict with each other. Effective communication and negotiation skills are essential to ensure all stakeholders understand the risk implications of their decisions. Additionally, adapting to rapidly changing regulations and market conditions can create pressure to quickly update risk models and processes.

What is the difference between Financial Risk Manager vs Credit Analyst?

AspectFinancial Risk ManagerCredit Analyst
CertificationsFRM, CFAFitch, CFA
Work EnvironmentFinancial institutions, banks, investment firmsBanks, lending institutions, credit agencies
Primary FocusAssessing and managing overall financial risksEvaluating creditworthiness of borrowers
Industry UsageRisk management departments, trading floorsLoan departments, credit risk units

While both roles involve financial analysis, a Financial Risk Manager focuses on identifying and mitigating broad financial risks across an organization, often requiring advanced certifications like FRM or CFA. A Credit Analyst specializes in assessing individual borrowers' creditworthiness to inform lending decisions. Both roles are vital in financial institutions but serve different strategic purposes.

Do financial risk managers make good money?

Financial risk managers typically earn competitive salaries that vary by industry, experience, and location. According to industry data, median annual pay often exceeds $100,000, with senior roles and certifications like FRM or CFA increasing earning potential. They also benefit from bonuses and other incentives based on performance and risk management success.

Is it hard to become a financial risk manager?

Becoming a financial risk manager typically requires a strong background in finance, economics, or related fields, along with relevant certifications such as the FRM or CFA. The role involves developing analytical skills, understanding financial models, and often gaining experience in risk analysis or financial analysis, which can take several years of education and work experience to achieve.

Is risk management in finance a good career?

A career as a financial risk manager involves analyzing and mitigating financial risks for organizations, often requiring strong analytical skills, knowledge of financial instruments, and certifications like FRM or CFA. It offers opportunities in banking, investment firms, and corporations, with a focus on quantitative analysis and regulatory compliance. The role can be rewarding for those interested in finance and risk assessment, with a stable job outlook and competitive salary potential.

What job categories do people searching Financial Risk Manager jobs in New Haven, CT look for?

The top searched job categories for Financial Risk Manager jobs in New Haven, CT are:

What cities near New Haven, CT are hiring for Financial Risk Manager jobs?

Cities near New Haven, CT with the most Financial Risk Manager job openings:

Financial Risk Manager jobs near you
Infographic showing various Financial Risk Manager job openings in New Haven, CT as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $112,189 per year, or $53.9 per hour.

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT • On-site

Full-time

Re-posted 14 hours ago

Job description

Job Title: Python Software Engineer – Financial EngineeringPosition Overview
We are an Portfolio Risk Analytics Company seeking a highly skilled Python Software Engineer with a strong background in financial engineering to design, develop, and maintain quantitative financial applications. The ideal candidate has experience building analytical tools, pricing models, trading systems, or risk management platforms using Python and modern software engineering practices.
Responsibilities
  • Design, develop, and maintain Python applications for financial analysis and quantitative modeling.
  • Build and optimize pricing, valuation, and risk management models for financial instruments.
  • Develop data pipelines for processing market, economic, and alternative data.
  • Implement and maintain backtesting frameworks for trading and investment strategies.
  • Collaborate with quantitative researchers, traders, portfolio managers, and software engineers.
  • Optimize code for performance, scalability, and reliability.
  • Integrate applications with market data providers, databases, and APIs.
  • Write clean, maintainable, and well-documented code.
  • Develop automated testing and deployment pipelines.
  • Monitor production systems and troubleshoot technical issues.
Required Qualifications
  • Bachelor's, Master's, PhD's degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering, or a related quantitative field.
  • 3+ years of professional Python development experience.
  • Strong knowledge of object-oriented programming and software design principles.
  • Experience with financial engineering concepts, including:
    • Derivative pricing
    • Fixed income analytics
    • Portfolio optimization
    • Risk management
    • Time series analysis
  • Experience with Python libraries such as:
    • NumPy
    • Pandas
    • SciPy
    • Statsmodels
    • scikit-learn
  • Experience working with SQL databases.
  • Familiarity with REST APIs and cloud platforms.
  • Experience using Git and CI/CD workflows.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience developing algorithmic trading systems.
  • Knowledge of stochastic calculus, Monte Carlo simulation, and numerical optimization.
  • Familiarity with financial data providers (S&P, Bloomberg, Refinitiv, ICE, Polygon.io, etc.).
  • Experience with distributed computing or high-performance computing.
  • Knowledge of Docker, Kubernetes, or cloud infrastructure (AWS, Azure, or GCP).
  • Experience with machine learning applied to financial markets.
  • Familiarity with C++, Rust, or Java is a plus.
Technical Skills
  • Python
  • NumPy
  • Pandas
  • SciPy
  • SQL
  • Git
  • Linux
  • Docker
  • REST APIs
  • Financial Modeling
  • Quantitative Finance
  • Risk Analytics
  • Time Series Analysis
Desired Personal Attributes
  • Strong quantitative reasoning
  • Excellent communication skills
  • Attention to detail
  • Ability to work independently and collaboratively
  • Passion for financial markets and technology
  • Commitment to writing high-quality, maintainable software
Nice-to-Have Experience
  • Quantitative research
  • Options pricing
  • Fixed income analytics
  • Portfolio construction
  • Market risk or credit risk systems
  • Backtesting platforms
  • Financial data engineering
  • AI/ML applications in finance