VP, Graph Analytics & Risk Modeling

SupportFinity™; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

SupportFinity™ is looking for a Compliance - Quant Analytics Manager - Vice President based in New York. This role involves analyzing complex data to understand business dynamics and developing scalable analytical models within the Risk Management framework.

The ideal candidate should have over 6 years of experience with Python, R, or Scala, and a solid background in analytical software development. You will work collaboratively with various teams to prepare documentation and solutions that comply with our high standards in governance and risk management.

Join us to help maintain the resilience of our business and challenge the status quo in our data-driven approach.

Qualifications

• 6+ years of experience in Python, R or Scala.
• Experience with machine learning and statistical models.
• Hands-on experience in software development and data pipelines.

Responsibilities

• Analyze complex data to solve business problems.
• Develop scalable and effective analytical models.
• Collaborate with various teams on data science projects.

Skills

Python

Machine Learning

Graph Analytics

Cloud Technologies

Data Analysis

Education

Bachelor of Science in Computer Science or related fields

Tools

Pandas

Scikit-Learn

Neo4j

AWS

Job description

SupportFinity™ is looking for a Compliance - Quant Analytics Manager - Vice President based in New York. This role involves analyzing complex data to understand business dynamics and developing scalable analytical models within the Risk Management framework.

The ideal candidate should have over 6 years of experience with Python, R, or Scala, and a solid background in analytical software development. You will work collaboratively with various teams to prepare documentation and solutions that comply with our high standards in governance and risk management.

Join us to help maintain the resilience of our business and challenge the status quo in our data-driven approach.