Company Overview

CFG Merchant Solutions ("CFGMS") is a privately owned and operated specialty finance and alternative funding provider, specializing in revenue-based financing. We focus on providing working capital to small and mid-sized businesses in the U.S. that have historically been underserved by traditional financing sources. With offices in Lower Manhattan, Glen Rock, NJ and Reston, VA, CFGMS is a high-volume, fast-paced funder servicing merchants across all nearly all industries.

Job Description

Build out the next stage of our data analytics program to deeply understand historical deal flow and develop modeling capabilities for decision support and predictive outcomes across finance, operations, collections and other groups within the company. Will build the foundation for AI-based decision support and business analytics. The position will be based out of our Manhattan or Reston, VA offices, with some travel required between the two. Minimum of 4 days per week in the office required. Not a remote work position.

• Data Analysis and Interpretation :
• Collect, analyze, and interpret complex data sets to identify trends, patterns, and insights.
• Develop natural language interface for ad hoc reporting
• Deploy AI and machine learning tools, where appropriate, to advance the competitive positioning of the company
• Develop core KPIs and other key measures of business operations.
• Develop and implement databases, data collection systems, and data analytics strategies to optimize statistical efficiency and quality.
• Acquire data from primary or secondary sources and maintain databases/data systems.
• Filter and clean data by reviewing data validity, consistency, correctness and accuracy using appropriate tools and methods.
• Predictive Analytics :
• Utilize predictive modeling techniques to forecast future trends, identify risks, and drive actionable recommendations.
• Develop and implement predictive models to enhance business performance and inform strategic decisions.
• Collaborate with cross-functional teams to apply predictive analytics across various business domains.
• Stakeholder Collaboration :
• Work closely with senior management to prioritize business and information needs.
• Present complex information in a clear and concise manner to stakeholders.
• Identify and define new process improvement opportunities.
• Technical Skills :
• Strong proficiency in SQL and experience working with relational databases.
• A strong working knowledge of data processing using languages such as Python or R.
• Proficiency utilizing data analysis tools and libraries such as Spark and PyTorch.
• Proficient in using statistical packages for analyzing datasets (such as Excel, SPSS, SAS).
• Familiarity with Agile methodologies and project management principles.

Requirements

• Masters degree in statistics, mathematics, economics, financial engineering or similar fields.
• Minimum of 5 years proven working experience as a Data Analyst or Business Data Analyst.
• Strong analytical skills with the ability to collect, organize, analyze, and design analytic reports with attention to detail and accuracy.
• Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
• Excellent problem-solving skills with the ability to think critically and provide innovative solutions.
• Exceptional communication skills to present findings and recommendations effectively.
• Direct experience with financial services such as banking, investing, insurance or lending is highly preferred