Enterprise Fraud Portfolio Analytics & Strategy Analyst

Jobtailor; Alabama; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a skilled fraud analytics professional to code and deploy fraud strategies, develop risk models, and deliver insightful reporting in support of profitability and regulatory compliance.

You will work with finance, risk, and data teams to improve lending decisions, monitor performance, and implement data-driven strategies across deposits, digital channels, and new accounts.

Qualifications

• 2+ years of relevant professional experience.
• Bachelor's degree or equivalent combination of education and experience.
• No employment visa sponsorship or STEM OPT participation.
• No required certifications or licenses.

Responsibilities

• Code and deploy fraud strategies to mitigate fraud losses.
• Provide financial and regulatory reporting and analyses.
• Maintain adequate controls over financial and regulatory reporting processes.
• Run complex business performance, risk, and operational analytics.
• Develop analytical methods and models to assess market, credit, and operational risk.
• Communicate analytical conclusions and recommend and implement business strategies.

Skills

SQL

R

Python

Power Automate

Power BI

Data Science Skills

Fraud Experience

Analytical Skills

Boolean Logic

Ability to Work Off Hours

Education

Bachelor's degree

Job description

• Code and deploy fraud strategies to mitigate fraud losses
• Provide financial and regulatory reporting and analyses
• Maintain adequate controls over financial and regulatory reporting processes
• Run complex business performance, risk, and operational analytics
• Develop analytical methods and models to assess market, credit, and operational risk
• Analyze large datasets to improve risk-adjusted returns and deliver profitable growth
• Communicate analytical conclusions and recommend and implement business strategies
• Improve lending decisions, manage risk, increase revenues, reduce loss exposure, meet business goals, and improve performance
• Establish strategy baselines and track actual performance against expectations
• Apply predictive models, third-party data, and other tools for segmentation and targeting
• Manage engagements with internal and external information suppliers
• Work with business, credit, data, and model development partners to design, develop, and monitor tests and analytical reporting
• Design and enhance standard reporting suites for product and portfolio reviews
• Collaborate with line of business, Finance, and Risk partners to assess and establish credit risk appetite and related policies and procedures

Requirements

• SQL, R, Python, PowerAutomate, PowerBI, and data science skills
• Understanding of Boolean logic
• Fraud experience in deposits, digital, new account origination, and/or card fraud
• Strong analytical skills
• Ability to work longer or off hours if needed during a fraud incident
• No employment visa sponsorship or STEM OPT participation
• 2+ years of relevant professional experience
• University/college degree, typically; a comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree
• Bachelor's degree
• No required certifications
• No required licenses

Core Competencies

Demonstrates expertise in fraud strategy development and implementation, utilizing advanced analytical methods and tools such as SQL, R, and Python to enhance risk management and financial reporting processes. Proven ability to analyze large datasets for improved decision-making and performance tracking.

Highest-signal resume keywords

• SQL
• R
• Python
• Fraud Experience
• Analytical Skills

Hard Skills

• Data Science Skills
• Predictive Modeling
• Business Performance Analytics
• Risk Analysis
• Financial Reporting

Soft Skills

• Communication Skills
• Collaboration

Industry Keywords

• Fraud Mitigation
• Credit Risk
• Operational Risk
• Regulatory Reporting
• Market Risk

Tools & Technologies

• PowerAutomate
• PowerBI