Quantitative Analyst II - Automated Decisions Team (Hybrid)

This is a hybrid role, with the expectation that time working will regularly take place inside and outside of a company office.

The Automated Decisions team delivers model development, research, and analysis to support FCB Equipment Finance. The role will primarily focus on supporting model development and Big Data/Machine Learning initiatives. Support the development and implementation of digitally driven credit risk management strategies to optimize performance across the credit life cycle. Be a key member of the Automated Decisions team responsible for the strategic vision of automated decision making and digital risk management strategies to transform the way small businesses access financing. Work with cross-functional teams, including business development, sales, credit, IT, and model governance functions, to develop and drive innovative digital lending strategies, influence strategic decisions, and identify new opportunities through the application of leading-edge analytical techniques.

• Lead the development, validation, and implementation of advanced credit risk models (PD/LGD) for Equipment Finance.
• Build tools & process enhancements and identifying opportunities to automate parts of model development and contribute to infrastructure, tool, or process improvement to enable efficiencies on the team.
• Partner with senior leadership to translate complex risk analytics insights into actionable business strategies and policy recommendations
• Mentor junior model development professionals, fostering a culture of innovation and continuous improvement in risk modeling approaches
• Drive the enhancement of risk management frameworks to meet evolving regulatory requirements.
• Lead the response to model validation findings and oversee the implementation of remediation plans across the modeling and analytics team.
• Establish and maintain relationships with regulatory bodies, external/internal auditors, Model Risk Management and key stakeholders.

Bachelor's Degree and 4 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 8 years of experience in financial, statistical, or quantitative analysis experience.

Preferred Qualifications:

Advanced degree (Master or PhD) in Quantitative Finance, Applied Mathematics, Statistics, Engineering, or other quantitative-oriented disciplines.

At least 3+ years of progressive experience in credit risk model development.

Hands on experience using Python, SAS, Tableau.

Hands on experience in model development and model development documentation.

Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies. Understand technical issues in statistical modeling, including theoretical assumptions and methodology limitations, data pitfalls, model sensitivities, simulation approaches or scenario analyses for low-default portfolios, and applying these skills toward providing robust solutions to business problems.

Strong quantitative skills and analytical problem-solving ability.

If hired in New Jersey, the base pay for this position is generally between $126,000 and $218,400. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.