Fair Lending Quantitative Risk Analyst Lead

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Banking, Financial ServicesIndustries

Requirements

Candidates must possess a Bachelor's degree in Mathematics, Statistics, Quantitative Analysis, or a related technical discipline, or an equivalent combination of education and work experience totaling at least 9 years, with a minimum of 5 years of relevant experience. Alternatively, a Master's degree in a related technical field with a minimum of 3 years of relevant experience is acceptable. A minimum of 5 years of banking or financial services experience is required, along with proficiency in SAS, SAS Enterprise Miner, other statistical software packages, advanced SQL, and Microsoft Office. The role also demands the ability to utilize analytics collaboratively across business functions, communicate complex concepts effectively, and manipulate/analyze data from large databases.

Responsibilities

The Fair Lending Quantitative Risk Analyst Lead will perform advanced data and statistical analysis to support the creation and maintenance of statistical models, including Regression and Multivariate models. This role involves providing oversight and expertise in model creation, testing, and validation, and developing model strategy for business initiatives and regulatory compliance. The Lead Analyst will guide Quantitative Analysts in data analysis and model construction with a risk management focus, mentor junior team members, and supervise their statistical modeling development. Responsibilities also include performing data manipulation and analysis using SQL, SAS, and Microsoft Excel, tracking portfolio performance, incorporating data into existing models for improved results, and identifying risk-related issues for escalation. The role requires adherence to company risk and regulatory standards, maintaining internal control standards, and completing other assigned duties.

Skills

Quantitative Analysis

Statistical Modeling

Regression

Multivariate Models

Data Analysis

Model Creation

Model Testing

Model Validation

SQL

SAS

Microsoft Excel

Credit Risk

Risk Management

Segmentation Analysis

Logistic Regression

Decision Trees

M&T Bank

Full-service banking for individuals and businesses

About M&T Bank

M&T Bank provides a variety of banking services to individuals, small businesses, and larger companies. Their offerings include mortgage assistance, personal and business checking accounts, and mobile banking options. The bank primarily operates in the Northeastern and Mid-Atlantic regions of the United States, emphasizing community engagement and a focus on customer service. M&T Bank's business model is based on traditional banking practices, such as loans, deposits, and investment products, and it generates revenue through interest income and service fees. A key aspect that sets M&T Bank apart from its competitors is its commitment to community involvement, which includes allowing employees to volunteer and supporting local organizations. The recent merger with United Bank, N.A. has further expanded their services and market presence.

Buffalo, New YorkHeadquarters

1993Year Founded

IPOCompany Stage

Financial ServicesIndustries

10,001+Employees