Quantitative Risk Analyst Lead
Financial Services
QuantitativeRiskAnalystLead-FairLendingAnalytics
Neural analysis suggests this role is
optimal for Lead candidates.
“Quantitative Risk Analyst Lead - Fair Lending Analytics at Quantitative Risk Analyst Lead. Skills: Quantitative Risk Analysis, Fair Lending Analytics, Statistical Modeling, Risk Management, Data Analysis. Perform advanced data and statistical analysis in support of the creation and maintenance of statistical models, including Regression and Multivariate models.. Support unit (dept. ) in data analysis and model construction.”
What You'll Achieve.
Improve predictive results
Industry & Context.
Derive optimum solutions
What They're Looking For.
Must Have
Minimum of 5 years relevant experience, Banking or Financial Services experience, Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages, Advanced Knowledge of SQL and Microsoft Office, Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions, Demonstrated ability to communicate complex concepts, Demonstrated ability to manipulate and analyze data across large databases
Nice to Have
Fair Lending Analytics experience
What You'll Do.
Perform advanced data and statistical analysis in support of the creation and maintenance of statistical models
including Regression and Multivariate models.
Support unit (dept. ) in data analysis and model construction.
Provide oversight and expertise in the model creation
testing and validation.
Develop and integrate model strategy to support business initiatives and regulatory compliance.
Lead Quantitative Analysts in establishing
evaluating and interpreting data with a risk management focus with an understanding of business strategy.
Mentor and supervise the work of junior team members and assist in the development of their statistical modeling acumen in areas such as segmentation analysis
decision trees and multivariate analysis.
Demonstrated working knowledge of Credit Risk databases to provide data and analytical support to Senior Management.
Perform data manipulation and analysis using SQL
SAS and Microsoft Excel and present results and recommendations to Credit Risk Management.
Track portfolio performance and risk strategy results.
Incorporate observations and data in to existing models to improve predictive results.
Provide guidance and direction to lower level analysts regarding all aspects of data analysis and the construction 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 belonging 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.
How You'll Work.
Team & Collaboration
Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Communication Scope
Demonstrated ability to communicate complex concepts
Full Job Description
# Overview: Perform advanced data and statistical analysis in support of the creation and maintenance of statistical models, including Regression and Multivariate models. Support unit (dept.) in data analysis and model construction. Provide oversight and expertise in the model creation, testing and validation. Develop and integrate model strategy to support business initiatives and regulatory compliance. ## Primary Responsibilities: * Lead Quantitative Analysts in establishing, monitoring, evaluating and interpreting data with a risk management focus with an understanding of business strategy. * Mentor and supervise the work of junior team members and assist in the development of their statistical modeling acumen in areas such as segmentation analysis, logistic regression, decision trees and multivariate analysis. * Demonstrated working knowledge of Credit Risk databases to provide data and analytical support to Senior Management. * Perform data manipulation and analysis using SQL, SAS and Microsoft Excel and present results and recommendations to Credit Risk Management. * Track portfolio performance and risk strategy results. Incorporate observations and data in to existing models to improve predictive results. * Provide guidance and direction to lower level analysts regarding all aspects of data analysis and the construction 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 belonging 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. ## Education and Experience Required: Bachelor degree in Mathematics, Statistics, Quantitative Analysi
Applying for this Quantitative Risk Analyst Lead - Fair Lending Analytics role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Quantitative Risk Analyst Lead?
Real rants from real employees. Read before you apply.