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Credit Modeling Quantitative Expert

Job DescriptionOverview:Independently develops, implements, maintains, analyzes and manages quantitative/econometric credit risk models used for capital planning, ACL and underwriting purposes. Serves as Bank-wide or industry expert in key area(s) of quantitative risk management. Provides mentoring, training and guidance to less experienced analysts and may lead/manage teams on a project basis, providing performance feedback to management as appropriate.Primary Responsibilities:• Lead research and development of quantitative models used for credit risk, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models, and financial instrument valuation methods used for capital planning, ACL and underwriting• Prepare, manage and analyze large customer loan, deposit or financial data sets for statistical analysis to properly specify and estimate econometric models to understand customer or Bank behavior. Understand context of the Bank’s data and businesses to ensure properly developed models.• Support the end-to-end development and implementation of models using agile methodologies while using sophisticated coding software and data science platforms.• Execute models in production environment; communicate analytical results to Bank-wide stakeholders. Track portfolio performance, model performance, campaign tracking and risk strategy results. Incorporate observations and data in to existing models to improve predictive results.• Develop, maintain, and manage satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source.• Lead financial analysis and data support to other groups/departments across the Bank as required, serving as Bank-wide expert in area(s) of quantitative risk management. Lead engagements with colleagues in Model Risk Management for model validation exercises.• Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and the development and management of predictive statistical models.• Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.• Promote an environment that supports diversity and reflects the M&T Bank brand.• Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.• Complete other related duties as assigned.Scope of Responsibilities:The position serves as a quantitative expert in use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of credit risk models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand analysis and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Commercial and Consumer Business Units, Model Risk Management and review functions (Credit Review, Audit, etc) to implement and understand models for Bank use. The position often leads team-based projects related to model development or implementation. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives within Finance and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions while directing the work of others on the team is a key factor of success in this role. The position may supervise the work of interns and/or lead teams on a project basis, providing performance feedback to management as appropriate. The position also provides guidance and direction to less experienced personnel.Education and Experience Required:Bachelor’s degree and a minimum of 6 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 10 years’ higher education and/or work experience, including a minimum of 6 years’ proven quantitative behavioral modeling experienceMinimum of 6 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)Minimum of 6 years’ on-the-job experience with data management environment, such as SQL Server Management StudioMinimum of 6 years’ on-the-job experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphsEducation and Experience Preferred:Masters’ of Science or Doctorate degree in statistics, economics, finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk managementMinimum of 8 years’ statistical analysis programming experienceFinancial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designationFluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regressionExperience in balance sheet management and mathematical modeling of financial instruments offered by banksKnowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk managementProven track record for being able to work autonomously and within a team environmentProven leadership skillsStrong desire to learn and contribute to a groupPrevious experience leading and directing the work of less experienced personnelM&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $115,703.73 - $192,839.55 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. The range listed above corresponds to our national pay range for this role. The specific pay range applicable to you may vary based on your location.LocationClanton, Alabama, United States of AmericaM&T Bank Corporation is an Equal Opportunity/Affirmative Action Employer, including disabilities and veterans.
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What You Should Know About Credit Modeling Quantitative Expert, M&T Bank

As a Credit Modeling Quantitative Expert at M&T Bank in Clanton, AL, you will play a crucial role in advancing our credit risk management strategies. This position is all about developing, implementing, and analyzing econometric models that help guide our capital planning and underwriting processes. You’ll be responsible for leading the research and development of key quantitative models, such as those forecasting loan delinquency and default, while efficiently managing large datasets to extract actionable insights. Your expertise will not only be invaluable to model validation but will also help mentor less experienced analysts. Collaborating with various departments across the bank, you’ll communicate complex data analyses in a clear and compelling manner, ensuring all stakeholders understand the models and their implications. You'll need to have a robust foundation in statistical software and a knack for handling intricate financial data. M&T Bank values a diverse workplace, so your ability to foster an inclusive environment will be critical. This role isn’t just about numbers; it’s about leading teams, driving projects, and enhancing our risk management frameworks to uphold our strong reputation in the financial industry. If you have a passion for quantitative analysis and a desire to make a real impact, we welcome you to apply for this exciting opportunity.

Frequently Asked Questions (FAQs) for Credit Modeling Quantitative Expert Role at M&T Bank
What are the primary responsibilities of a Credit Modeling Quantitative Expert at M&T Bank?

The primary responsibilities of a Credit Modeling Quantitative Expert at M&T Bank include developing and implementing quantitative models for credit risk, managing large datasets for statistical analysis, and communicating model outcomes across the organization. This expert will also mentor junior analysts, conduct validation exercises with Model Risk Management, and ensure compliance with the bank's risk and regulatory policies.

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What qualifications are needed for the Credit Modeling Quantitative Expert position at M&T Bank?

To qualify for the Credit Modeling Quantitative Expert role at M&T Bank, candidates should possess a Bachelor’s degree with a minimum of 6 years in quantitative behavioral modeling or equivalent work experience. Proficiency in statistical software such as SAS, Python, or R is critical, along with experience analyzing large datasets and strong communication skills to present findings effectively.

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How is the work environment for the Credit Modeling Quantitative Expert at M&T Bank?

The work environment for a Credit Modeling Quantitative Expert at M&T Bank is supportive and collaborative, promoting diversity and teamwork. Experts will often partner with colleagues in various departments to enhance model development and implementation, allowing for a rich learning atmosphere and the opportunity to engage in impactful projects.

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What are the career development opportunities for a Credit Modeling Quantitative Expert at M&T Bank?

As a Credit Modeling Quantitative Expert at M&T Bank, career development opportunities are abundant. The role allows for mentoring junior staff, leading analytical projects, and working closely with senior management. Additionally, continued learning and professional growth are encouraged through access to resources, training programs, and potential pathways to advanced leadership positions within the bank.

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What is the expected salary range for a Credit Modeling Quantitative Expert at M&T Bank?

The salary range for a Credit Modeling Quantitative Expert at M&T Bank is between $115,703.73 and $192,839.55 annually. The specific compensation will depend on the successful candidate's unique blend of experience, skills, and location, reflecting M&T Bank’s commitment to fair and competitive pay.

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Common Interview Questions for Credit Modeling Quantitative Expert
Can you describe your experience with quantitative modeling in credit risk?

When answering this question, provide specific examples of quantitative models you've developed or worked on, the impact they had on decision-making, and how you ensured their accuracy and reliability through validation processes.

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Which statistical software are you most proficient in and why?

Mention the statistical software you excel in, like SAS or Python, and discuss your hands-on experience with them, such as specific projects or analyses you've conducted, emphasizing your ability to utilize software to derive meaningful insights from data.

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How do you approach data analysis when dealing with large datasets?

Explain your methodology for data analysis, including how you clean and prepare data, the analytical techniques you employ, and how you interpret results. Highlight your experience with SQL for data management in this context.

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How do you ensure that your models are compliant with regulatory standards?

Discuss your understanding of relevant regulatory guidance, such as SR-11-7, and describe the steps you take during model development, testing, and validation to ensure compliance and mitigate risk, including thorough documentation practices.

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Can you give an example of a successful project where you led a team?

Share a specific project example where you provided leadership, detailing how you organized the team, delegated tasks, managed timelines, and achieved project goals, along with any challenges you overcame together.

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What techniques do you use for visualizing complex data?

Describe the tools and techniques you use for data visualization, such as Tableau or R, and provide examples of how you've presented data analyses to stakeholders effectively, ensuring clarity and understanding of key insights.

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What challenges have you faced in credit risk modeling and how did you overcome them?

Reflect on specific challenges you've encountered—like data quality issues or model validation hurdles—and describe the analytical approaches or strategic changes you made to mitigate those challenges effectively.

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How do you keep yourself updated with the latest trends in quantitative risk management?

Discuss the resources you regularly consult, such as industry publications, conferences, or online courses, and emphasize your commitment to continuous learning to stay current in the evolving field of quantitative risk management.

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Describe a time when you had to explain a complex model to a non-technical audience.

When answering, provide an instance where you tailored your explanation for clarity and understanding. Discuss the strategies you used, such as simplifying terminologies or using visual aids, to convey the model's importance and findings effectively.

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What motivates you to work in quantitative risk management?

Share your genuine interest in quantitative risk management, perhaps reflecting on its significance in the banking industry, the analytical challenges it offers, or your passion for deriving insights from data that can drive business decisions.

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We strive to be the best company our employees ever work for, the best bank our customers ever do business with, and the best investment our shareholders ever make.

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Full-time, on-site
DATE POSTED
November 30, 2024

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