Sr. Risk Data Analyst

About

NAVA Software solutions is looking for a Sr. Risk Data Analyst for one of our clients.

Position Details

• Title: Sr. Risk Data Analyst
• Location: Berkeley Heights/NJ, Atlanta/GA, Houston/TX, Coral Springs/FL or NYC (Hybrid 2 days in office)
• Duration: 12+ months

Role Overview

What does a great Data Science, Senior Analyst do?
You will support transaction risk management for of a portfolio of merchant accounts. You'll develop and implement machine learning models and rules to mitigate fraud and credit risk; analyze ambiguous data to understand trends, reach conclusions, and develop strategies to improve portfolio performance; and provide internal and external reporting and analytics.

Responsibilities

• Monitoring key metrics and ensuring accounts are meeting all contractual SLAs
• Communicating directly with external customers.
• Managing a portfolio that produces $30 million in yearly warranties/check guarantees.
• Risk management is a key transactional differentiator, if risk management is not conducted properly, there is impact to company reputation and public image, legal exposure and operational areas.
• Being the direct driver in the ability to meet forecast of yearly financial plan; tasked with approximately $2 million in yearly savings.
• Creating statistical business models and rule sets to reduce net write‑off; monitoring accounts to validate authorization system processing and performing to expectations.
• Serving as a technical leader within the group and managing more substantial portfolios.

Basic Qualifications for Consideration

• 3+ years general business experience with 4+ years experience in an analytical role.
• Experience in a technical and analytical business environment with a proven track record of success and increasing responsibilities.
• Experience working with, understanding, and analyzing large amounts of data—including experience retrieving data from multiple data sources using your exceptional Access and Excel skills.
• Experience with SQL and SAS

Preferred Qualifications

• Python, R Studio, or other statistical languages.
• Tableau, Power BI, and other data analytics and visualization tools.
• Predictive modeling and big data experience.
• Background in a modeling and testing (champion/challenger) environment.
• Experience in the check/payments industry.