Description

Job Responsibilities include:

Partner with stakeholders to analyze data and provide insights that support timely business decision-making.

Develop and automate dashboards and analytical solutions using Python, SAS, SQL, and modern front-end tools.

Perform advanced statistical and quantitative analysis, including model execution, validation, and exception handling.

Extract, transform, and analyze data using SQL queries and macros to support model development and reporting.

Interpret analytical results and prepare reports, presenting insights to both technical and non-technical audiences.

Collaborate with teams to enhance processes, assess performance, and manage risk through data-driven approaches.

Required Qualifications:

Bachelor’s degree in mathematics, Statistics, Computer Science, Finance, or a related quantitative field.

Minimum 3+ years of hands-on analytical, quantitative, or portfolio analysis experience in a data-driven environment.

Strong coding proficiency in Python, SAS, and SQL with experience in building automated dashboards and analytical tools.

Proven ability to translate complex data insights into business recommendations and effectively bridge technical and business stakeholders

Key Skills

Education

Any Graduate