GCM Quantitative Risk Analyst Expert

Wilmington Trust Sp Services (London) Limited; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a skilled Quantitative Analyst to lead data analysis and statistical model development. This role involves mentoring junior analysts, performing advanced statistical analyses, and ensuring compliance with risk management standards. The ideal candidate will have extensive experience in banking or financial services, with a strong background in SQL and statistical software. Join a dynamic team where your expertise will drive business initiatives and enhance predictive modeling strategies. This position offers a unique opportunity to make a significant impact within a collaborative environment focused on innovation and excellence.

Qualifications

• Minimum of 7 years relevant experience in banking or financial services.
• Advanced knowledge of SQL and Microsoft Office required.

Responsibilities

• Lead and mentor Quantitative Analysts in data analysis and model construction.
• Perform data manipulation and analysis using SQL, SAS, and Excel.

Skills

Statistical Analysis

Data Manipulation

Risk Management

Communication Skills

Data Analysis

Model Construction

Education

Bachelor's Degree

Master's Degree in Mathematics or Statistics

Tools

SQL

SAS

Microsoft Excel

SAS Enterprise Miner

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.
• Employ 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 into 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 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.

Education and Experience Required:

Bachelor’s degree,
OR in lieu of degree,
A combined minimum of 11 years higher education and/or work experience to include a minimum of 7 years relevant experience.
-OR-
Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with a minimum of 5 years relevant experience or in lieu of degree, a combined minimum of 11 years higher education and/or work experience to include a minimum of 5 years relevant experience.

Minimum of 7 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.

Education and Experience Preferred:

Credit Analysis experience.

Location

London, United Kingdom