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Quantitative Risk Analyst

2 months ago


Charlotte, North Carolina, United States National Black MBA Association Full time

Job Overview:


At National Black MBA Association, we are driven by a unified mission to enhance financial well-being through the strength of every interaction.

Responsible Growth is our guiding principle, shaping how we operate and how we serve our clients, colleagues, communities, and stakeholders daily.

A key element in fostering Responsible Growth is our commitment to being an exceptional workplace for our team members globally.

We are dedicated to cultivating a diverse and inclusive environment for all.

We seek individuals with a wide array of backgrounds and experiences, investing significantly in our team members and their families by providing competitive benefits that support their physical, emotional, and financial health.

The National Black MBA Association values collaboration while also offering flexibility to our employees. We adopt a multifaceted approach to flexibility, tailored to the various roles within our organization.

Joining the National Black MBA Association presents an opportunity for a fulfilling career, with avenues for learning, growth, and making a meaningful impact.


Key Responsibilities:
This position entails conducting quantitative analysis and modeling initiatives for designated business sectors or risk categories.
Develop innovative models, analytical processes, or systematic approaches.
Create comprehensive technical documentation for associated activities.
Collaborate with technology teams in designing systems to implement developed models.
Possess extensive knowledge of financial markets and products.

Primary Duties:


Execute comprehensive market risk stress testing, including scenario design, implementation, results consolidation, internal and external reporting, and analyze stress scenario outcomes to gain insights into key drivers.

Assist in planning quantitative work priorities aligned with the organization’s overarching strategy and priorities.
Identify opportunities for continuous improvement through evaluations of approval decisions related to model development or validation tasks.
Support model development and risk management in relevant focus areas.
Provide methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction of development and validation projects.
Engage closely with model stakeholders and senior management regarding the communication of submission and validation results.
Conduct statistical analysis on extensive datasets and interpret findings using both qualitative and quantitative methodologies.

Essential Skills:
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications

Educational Requirements:
Master’s or PhD in Mathematics, Economics, Statistics, or a related field.

Required Experience:
A minimum of 2 years of relevant experience in statistics, data science, econometrics, and other quantitative analyses.
Hands-on experience in data analysis, statistical model estimation, implementation, and testing.
Proficient programming skills in Python, SQL, Pandas, and NumPy.
Experience in quantitative documentation using LaTeX.
Strong analytical and problem-solving capabilities.
Ability to effectively present quantitative analyses to stakeholders.

Preferred Experience:
Familiarity with HDFS, HIVE, and Spark.
Ability to utilize CI/CD tools (e.g., Git, JIRA, Confluence, Pytest, Jenkins, and SonarQube) in the model development process.
In-depth business knowledge of credit card and consumer vehicle lending.
Experience with CCAR and CECL.

Shift: 1st shift (United States of America)

Hours Per Week: 40

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