Fraud Analytics Data Scientist - Remote | WFH

Elevate Your Career as a Data Scientist in Fraud Analytics (Remote)

Are you ready to take your career to the next level in a company that prioritizes its people and clients? Join our dynamic organization, renowned for its commitment to fostering growth and innovation, as we empower businesses and individuals to thrive today and into the future. Be part of a community of visionary professionals dedicated to achieving exceptional results with integrity, all while simplifying the journey toward better health and financial security.

We take pride in attracting top-tier talent! While some roles require in-office presence, we offer flexible remote working opportunities across various states, including AL, AZ, FL, GA, IA, IL, IN, MI, MN, MO, NC, NE, PA, SC, TN, TX, UT, VA, and WV. Please be aware that remote arrangements and job locations may vary, and we do not offer relocation assistance.

Why Choose Us?

Our organization is committed to creating an authentic workplace that celebrates diversity and promotes collaboration. We encourage candidates who may not meet every requirement to apply, as we believe a diverse team is vital to reflecting the various businesses and clients we serve. If you thrive in a supportive environment that emphasizes career growth, we would be thrilled to consider your application.

Role Overview

Our Data Science team is on the lookout for a seasoned Senior Data Scientist specializing in information security and fraud prevention. The successful candidate will possess a strong foundation in data science and statistical modeling, particularly geared toward fraud detection and mitigative strategies. You will utilize extensive data sets to uncover fraudulent trends, design predictive models, and implement algorithms that enhance the security of our members.

Key Responsibilities

• Leverage data science methodologies to combat fraud in consumer-facing SaaS applications, tackling critical inquiries that influence fraud risk management decisions.
• Develop and execute sophisticated analytics models aimed at fraud detection using machine learning and advanced statistical techniques.
• Analyze substantial volumes of transactional data to identify anomalies and trends indicative of fraudulent behavior.
• Create and implement real-time fraud monitoring systems to detect suspicious activities promptly.
• Establish processes for ongoing evaluation and enhancement of model performance.
• Collaborate with Compliance and Security teams to foster data-driven decision-making.
• Generate essential performance metrics for fraud protection to present to operational risk teams and senior leadership.
• Design and refine algorithms for pattern recognition and matching using cutting-edge methodologies.
• Work alongside business and risk teams to refine risk metrics, assessment methodologies, and key performance indicators, assessing the overall risk landscape.
• Conduct holistic evaluations of fraud cases to pinpoint potential improvements.
• Prepare and deliver presentations to internal stakeholders on analytical findings and proposed solutions.
• Translate business needs into analytic projects in partnership with internal stakeholders.
• Lead projects from conception to execution.
• Stay abreast of current trends, regulations, and challenges within the Fraud/Risk domain.
• Compile and analyze data from academic journals, industry reports, and market sources to maintain an up-to-date knowledge base.
• Contribute to the overall Insights strategy.
• Fulfill additional duties as assigned.
  
  

Qualifications

• 7-10 years of experience in Data Science, Statistics, or related fields.
• Master's Degree in Statistics, Mathematics, Computer Science, Engineering, or Data Science.
• Specialization in Fraud Analytics with at least 3 years of relevant experience.
• Proficient in programming languages such as Python, SQL, and R.
• Familiarity with Docker Containers is advantageous.
• Strong analytical capabilities with a proactive mindset.
• Excellent organizational skills with a strong commitment to deadlines.
• A focus on accuracy and efficiency in all tasks.
• Proficiency in Microsoft Excel, Word (including mail merge), and Outlook.
• Exceptional verbal and written communication skills.
• Ability to prioritize and manage multiple responsibilities effectively.
• Strong collaboration skills and a willingness to learn and quickly apply new concepts.
• Experience with Salesforce CRM is preferred.
  
  

Employment Type: Full-Time