Quantitative Analyst

Popular Bank • Rosemont, IL • 2w ago

This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/12739377\ Position Title: Quantitative Analyst\ \ Date: May 14, 2025\ \ Location: Rosemont, IL, US, 60018\ \ Company: Popular Bank\ \

Job Type

Full Time Regular Position

General Description

Quantitative Analyst II is a valuable contributor within the Analytics & Insights function, applying quantitative methodologies to derive insights from data and support data-driven decision-making. This role is responsible for developing and implementing statistical models, conducting data analyses, and collaborating with senior quantitative analysts and managers on projects.

The Quantitative Analyst II works with data scientists, data analysts, and business stakeholders to contribute to quantitative analysis initiatives

Essential Duties and Responsibilities

Collaborate with multifaceted teams of specialists spread across

various locations to offer a broad spectrum of data and analytics solutions. You will contribute to addressing complicated challenges and propelling advancement within the Enterprise Data & Analytics function

Develop and implement statistical models for various applications,

including customer segmentation, predictive analytics, hypothesis testing, and line of business analysis.

Conduct data analyses using statistical methods and mathematical

models to extract meaningful insights from data.

Participate in the validation and testing of quantitative models to

ensure accuracy and reliability, working under the guidance of senior analysts.

Collaborate with the Quantitative Manager and Senior Quantitative

Analysts to understand business objectives, gather requirements, and contribute to defining project scopes.

Work with the Data Science and Advanced Analytics Center of

Excellence teams to learn and apply advanced analytics techniques, contributing to project deliverables.

Assist in the development and documentation of governance frameworks

for analytics practices, under supervision.

Contribute to AI-driven Visualization & Self Service and Guided

Analytics initiatives by applying quantitative methodologies to generate visual insights, with guidance.

Communicate quantitative analysis results to both technical and

non-technical stakeholders, ensuring clarity and accuracy.

Stay informed about emerging trends in quantitative analytics and

participate in continuous learning activities.

Work with DataLake, Enterprise Data Warehouse, SQL, and NoSQL

databases to access and analyze data.

Education

Bachelors degree in Statistics, Mathematics, Econometrics, Operations Research, or a related quantitative field.

Experience

Minimum of 5-8 years of experience in quantitative analytics, with a solid foundation in statistical modeling and data analysis techniques

Other Qualifications

Proficiency in data analysis tools and programming languages such as R, Python, SAS, or MATLAB.

Experience with customer segmentation, predictive analytics, hypothesis testing, and line of business analytics.

Working knowledge of machine learning algorithms and frameworks (Less emphasis on Deep Learning specifics compared to QA III, but general ML knowledge is still valuable).

Familiarity with cloud computing environments and experience with deploying models in cloud environments such as AWS, Azure, or GCP

Experience with AI/MLplatforms in cloud such as Sag\ \ \ \ Equal employment opportunity, including veterans and individuals with disabilities.\ \

PI271141049

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