Quantitative Analytics Manager - Careers at Robert Half
Robert Half
Quantitative Analytics Manager - Careers at Robert Half
Job Description
Quantitative Analytics Manager - Lead Credit Risk Innovation at Robert Half
Join Robert Half's dynamic financial services team as a Quantitative Analytics Manager in Enfield, Connecticut. This strategic leadership role offers the opportunity to drive cutting-edge credit risk analysis, financial modeling, and portfolio optimization initiatives. Located in Hartford County, this position is perfect for seasoned analytics professionals passionate about transforming data into actionable business intelligence. With a competitive salary starting at $110,000, you'll lead high-impact projects that enhance lending decisions and regulatory compliance.
About the Role
As Quantitative Analytics Manager, you'll spearhead the development of sophisticated credit risk models and stress testing frameworks that safeguard lending portfolios against market volatility. Based in Enfield, CT, this full-time position combines technical expertise with leadership responsibilities, collaborating across departments to deliver data-driven strategies. Robert Half, a leader in financial staffing and consulting, provides the ideal platform for professionals seeking to advance in quantitative finance careers. Enfield's strategic location offers proximity to major financial hubs while maintaining an excellent work-life balance in the beautiful Connecticut countryside.
This role demands a blend of advanced analytical skills, regulatory knowledge, and team leadership. You'll utilize modern tools like Databricks for big data processing and GitHub for version-controlled code management, ensuring scalable and reproducible analytics solutions. Stay ahead of industry trends in credit risk management, CECL standards, and IFRS 9 compliance while mentoring junior analysts to build a high-performing team.
Key Responsibilities
Your leadership will be pivotal in several core areas:
- Advanced Model Development: Design, build, and validate credit risk models using statistical techniques, machine learning, and econometric methods to predict default probabilities and loss given default.
- Stress Testing & Scenario Analysis: Lead comprehensive stress testing programs, simulating economic downturns to assess portfolio resilience and inform capital adequacy planning.
- Regulatory Reporting: Oversee loan loss reserve calculations, ensuring accurate CECL/IFRS 9 implementations and timely SEC/FRB reporting.
- Cross-Functional Collaboration: Partner with risk management, underwriting, and business development teams to integrate analytics into daily operations and strategic planning.
- Technology Implementation: Leverage Databricks for distributed computing, GitHub for collaborative development, and Python/R/SQL for data manipulation and visualization.
- Team Leadership: Mentor 5-10 analysts, fostering a culture of precision, innovation, and continuous improvement.
- Data Governance: Champion data quality standards, implementing validation protocols and automated monitoring systems.
- Industry Innovation: Monitor emerging trends in AI-driven risk modeling, climate risk assessment, and alternative data sources.
Required Qualifications
To excel in this Quantitative Analytics Manager role, candidates should possess:
- Advanced degree (Master's/PhD preferred) in Quantitative Finance, Statistics, Economics, or related discipline
- 5-8+ years in credit risk analytics, preferably in banking or financial services
- Demonstrated experience with credit risk modeling tools (SAS, R, Python, MATLAB)
- Proficiency in cloud platforms (Databricks, AWS, Azure) and version control (GitHub)
- Deep knowledge of regulatory frameworks including CECL, Basel III, and Dodd-Frank
- Proven leadership experience managing analytics teams
- Exceptional problem-solving skills with attention to model validation and documentation
- Strong communication abilities for presenting complex findings to executive stakeholders
Robert Half values diversity and seeks candidates who thrive in collaborative, fast-paced environments. Certifications like FRM, CFA, or CQF are highly advantageous.
Why Join Us at Robert Half?
Robert Half offers unparalleled career growth in Enfield, CT's thriving financial sector. Enjoy a comprehensive benefits package including medical/dental/vision coverage, 401(k) matching up to 6%, unlimited PTO accrual, and professional development stipends. Our hybrid work model provides flexibility while maintaining strong team connectivity. Network with top-tier clients and advance your career through Robert Half's extensive opportunities in quantitative analytics, risk management, and financial modeling.
Enfield, Connecticut, combines suburban charm with urban accessibility—just minutes from Hartford and Springfield, MA. This Quantitative Analytics Manager position represents a rare chance to shape the future of credit risk management. Apply today to elevate your career with Robert Half!
Locations
- Enfield, Connecticut, United States
Salary
110,000 - 140,000 USD / yearly
110,000 - 140,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Credit Risk Modelingintermediate
- Financial Modelingintermediate
- Stress Testingintermediate
- Data Analyticsintermediate
- Databricksintermediate
- GitHubintermediate
- Loan Loss Allowanceintermediate
- Regulatory Complianceintermediate
- Leadership and Mentorshipintermediate
- Python/R Programmingintermediate
Required Qualifications
- Bachelor's or Master's degree in Finance, Statistics, Mathematics, or related field (experience)
- 5+ years of experience in quantitative analytics, credit risk, or financial modeling (experience)
- Proven expertise in developing advanced credit risk models (experience)
- Strong proficiency in data analytics tools including Databricks and GitHub (experience)
- Experience with stress testing and loan loss provisioning (experience)
- Excellent leadership skills with ability to mentor analytics teams (experience)
- Knowledge of regulatory standards in financial services (experience)
- Strong communication and cross-functional collaboration abilities (experience)
- Attention to detail and commitment to data accuracy (experience)
Responsibilities
- Design and implement advanced credit risk models to support financial decision-making
- Oversee stress testing processes to evaluate the resilience of lending portfolios
- Manage loan loss allowance calculations and reporting to ensure compliance with regulatory standards
- Collaborate with cross-functional teams to streamline analytics and improve data-driven strategies
- Utilize tools like Databricks and GitHub for efficient coding and data management
- Lead the development of innovative solutions for credit risk assessment and monitoring
- Provide guidance and mentorship to the analytics team, encouraging growth and attention to detail
- Ensure the accuracy and reliability of financial data used in risk evaluations
- Stay updated on industry trends and integrate best practices into organizational processes
Benefits
- general: Competitive salary range of $110,000 - $140,000 annually
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) retirement savings plan with company match
- general: Generous paid time off and holiday schedule
- general: Professional development and certification reimbursement
- general: Flexible work arrangements and hybrid options
- general: Performance-based bonuses and incentives
- general: Employee assistance programs and wellness benefits
- general: Career growth opportunities within Robert Half network
Tags & Categories
Answer 10 quick questions to check your fit for Quantitative Analytics Manager - Careers at Robert Half @ Robert Half.
Related Books and Jobs
Quantitative Analytics Manager - Careers at Robert Half
Robert Half
Quantitative Analytics Manager - Careers at Robert Half
Job Description
Quantitative Analytics Manager - Lead Credit Risk Innovation at Robert Half
Join Robert Half's dynamic financial services team as a Quantitative Analytics Manager in Enfield, Connecticut. This strategic leadership role offers the opportunity to drive cutting-edge credit risk analysis, financial modeling, and portfolio optimization initiatives. Located in Hartford County, this position is perfect for seasoned analytics professionals passionate about transforming data into actionable business intelligence. With a competitive salary starting at $110,000, you'll lead high-impact projects that enhance lending decisions and regulatory compliance.
About the Role
As Quantitative Analytics Manager, you'll spearhead the development of sophisticated credit risk models and stress testing frameworks that safeguard lending portfolios against market volatility. Based in Enfield, CT, this full-time position combines technical expertise with leadership responsibilities, collaborating across departments to deliver data-driven strategies. Robert Half, a leader in financial staffing and consulting, provides the ideal platform for professionals seeking to advance in quantitative finance careers. Enfield's strategic location offers proximity to major financial hubs while maintaining an excellent work-life balance in the beautiful Connecticut countryside.
This role demands a blend of advanced analytical skills, regulatory knowledge, and team leadership. You'll utilize modern tools like Databricks for big data processing and GitHub for version-controlled code management, ensuring scalable and reproducible analytics solutions. Stay ahead of industry trends in credit risk management, CECL standards, and IFRS 9 compliance while mentoring junior analysts to build a high-performing team.
Key Responsibilities
Your leadership will be pivotal in several core areas:
- Advanced Model Development: Design, build, and validate credit risk models using statistical techniques, machine learning, and econometric methods to predict default probabilities and loss given default.
- Stress Testing & Scenario Analysis: Lead comprehensive stress testing programs, simulating economic downturns to assess portfolio resilience and inform capital adequacy planning.
- Regulatory Reporting: Oversee loan loss reserve calculations, ensuring accurate CECL/IFRS 9 implementations and timely SEC/FRB reporting.
- Cross-Functional Collaboration: Partner with risk management, underwriting, and business development teams to integrate analytics into daily operations and strategic planning.
- Technology Implementation: Leverage Databricks for distributed computing, GitHub for collaborative development, and Python/R/SQL for data manipulation and visualization.
- Team Leadership: Mentor 5-10 analysts, fostering a culture of precision, innovation, and continuous improvement.
- Data Governance: Champion data quality standards, implementing validation protocols and automated monitoring systems.
- Industry Innovation: Monitor emerging trends in AI-driven risk modeling, climate risk assessment, and alternative data sources.
Required Qualifications
To excel in this Quantitative Analytics Manager role, candidates should possess:
- Advanced degree (Master's/PhD preferred) in Quantitative Finance, Statistics, Economics, or related discipline
- 5-8+ years in credit risk analytics, preferably in banking or financial services
- Demonstrated experience with credit risk modeling tools (SAS, R, Python, MATLAB)
- Proficiency in cloud platforms (Databricks, AWS, Azure) and version control (GitHub)
- Deep knowledge of regulatory frameworks including CECL, Basel III, and Dodd-Frank
- Proven leadership experience managing analytics teams
- Exceptional problem-solving skills with attention to model validation and documentation
- Strong communication abilities for presenting complex findings to executive stakeholders
Robert Half values diversity and seeks candidates who thrive in collaborative, fast-paced environments. Certifications like FRM, CFA, or CQF are highly advantageous.
Why Join Us at Robert Half?
Robert Half offers unparalleled career growth in Enfield, CT's thriving financial sector. Enjoy a comprehensive benefits package including medical/dental/vision coverage, 401(k) matching up to 6%, unlimited PTO accrual, and professional development stipends. Our hybrid work model provides flexibility while maintaining strong team connectivity. Network with top-tier clients and advance your career through Robert Half's extensive opportunities in quantitative analytics, risk management, and financial modeling.
Enfield, Connecticut, combines suburban charm with urban accessibility—just minutes from Hartford and Springfield, MA. This Quantitative Analytics Manager position represents a rare chance to shape the future of credit risk management. Apply today to elevate your career with Robert Half!
Locations
- Enfield, Connecticut, United States
Salary
110,000 - 140,000 USD / yearly
110,000 - 140,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Credit Risk Modelingintermediate
- Financial Modelingintermediate
- Stress Testingintermediate
- Data Analyticsintermediate
- Databricksintermediate
- GitHubintermediate
- Loan Loss Allowanceintermediate
- Regulatory Complianceintermediate
- Leadership and Mentorshipintermediate
- Python/R Programmingintermediate
Required Qualifications
- Bachelor's or Master's degree in Finance, Statistics, Mathematics, or related field (experience)
- 5+ years of experience in quantitative analytics, credit risk, or financial modeling (experience)
- Proven expertise in developing advanced credit risk models (experience)
- Strong proficiency in data analytics tools including Databricks and GitHub (experience)
- Experience with stress testing and loan loss provisioning (experience)
- Excellent leadership skills with ability to mentor analytics teams (experience)
- Knowledge of regulatory standards in financial services (experience)
- Strong communication and cross-functional collaboration abilities (experience)
- Attention to detail and commitment to data accuracy (experience)
Responsibilities
- Design and implement advanced credit risk models to support financial decision-making
- Oversee stress testing processes to evaluate the resilience of lending portfolios
- Manage loan loss allowance calculations and reporting to ensure compliance with regulatory standards
- Collaborate with cross-functional teams to streamline analytics and improve data-driven strategies
- Utilize tools like Databricks and GitHub for efficient coding and data management
- Lead the development of innovative solutions for credit risk assessment and monitoring
- Provide guidance and mentorship to the analytics team, encouraging growth and attention to detail
- Ensure the accuracy and reliability of financial data used in risk evaluations
- Stay updated on industry trends and integrate best practices into organizational processes
Benefits
- general: Competitive salary range of $110,000 - $140,000 annually
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) retirement savings plan with company match
- general: Generous paid time off and holiday schedule
- general: Professional development and certification reimbursement
- general: Flexible work arrangements and hybrid options
- general: Performance-based bonuses and incentives
- general: Employee assistance programs and wellness benefits
- general: Career growth opportunities within Robert Half network
Tags & Categories
Answer 10 quick questions to check your fit for Quantitative Analytics Manager - Careers at Robert Half @ Robert Half.
Related Books and Jobs