Quantitative Analyst

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

Bachelor’s 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/ML platforms in cloud such as Sagemaker, Dataiku, DataRobot, H2O.ai, Snowpark, ModelOp Center, and Domino Data Lab
• Solid knowledge of statistical modeling, data analysis techniques, and mathematical models.
• Experience in following waterfall, iterative, scaled agile, scrum, and kanban methodologies.
• Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R.
• Excellent data analysis, profiling, and statistics skills coupled with proficiency in SQL tools and technologies such as Oracle, SQL Server, MySQL, Pandas, NumPy, Ggplot, Shiny, SciPy, Sci-Kit Learn, and Matplotlib.
• Experience in handling moderate to high volumes of data in structured, semi-structured, and unstructured formats
• Familiarity with big data technologies such as Hadoop, Spark, or similar
• Strong analytical skills with an aptitude for solving complex problems using quantitative methods.
• Familiarity with financial domains, data products and instruments, as well as financial mathematics
• Good communication and presentation skills, with the ability to convey analytical concepts clearly.
• Eagerness to learn and grow within the quantitative analytics field.

Region Locations

Remote from Illinois, US

Values

Base Salary & Benefits

Our base salary for this position located in Illinois generally ranges between $135,000 and $140,000 annually, depending on business needs and, on your qualifications, and experience. Base salary does not include incentive compensation, commissions, or any other type of remuneration or benefits. In addition to salary, Popular's well-rounded benefits package for regular full-time and part-time employees includes a comprehensive health plan, flexible time off options, and savings and investment plans. Seasonal/temporary employees are not eligible for these benefits.