Sr. Data Scientist, Fraud Analytics (Remote)

Take the next step in your journey at Inspira Financial. You will help businesses and individuals thrive today, tomorrow, and into retirement. Become part of a company that is people centric and client obsessed in every interaction; a community of forward-thinking individuals focused on driving results to deliver our mission with an unwavering commitment to integrity. Join us as we strengthen and simplify the health and wealth journey – relentlessly pursuing better outcomes for all. We believe in finding the best talent! While some roles are based at one of our office locations, remote roles can sit in any of the following states: AL, AZ, FL, GA, IA, IL, IN, MI, MN, MO, NC, NE, PA, SC, TN, TX, UT, VA and WV. Remote status and role locations are subject to change. Relocation is not provided.

Don’t meet every single requirement? Here at Inspira Financial, we believe there is no “perfect” candidate and want to encourage applying even if all the requirements listed aren’t met. Our goal is to build an authentic workplace by valuing diversity in our candidates. We work to ensure that our team reflects the diversity of the businesses and clients we serve. We are always looking to expand our growing team with dynamic and enthusiastic individuals. If you enjoy a collaborative, fun environment that champions career development, Inspira Financial is the place for you! We look forward to receiving your application! Check out this Inspira Financial video to learn more about our company!

HOW YOU WILL SOAR:

The Inspira Data Science team is seeking a highly skilled senior data scientist with experience applying their talents to information security and anti-fraud use cases. The ideal candidate will have a strong background in data science and statistical modeling, with a strong focus on fraud detection and prevention strategies. This individual will be responsible for analyzing large data sets to identify fraudulent activities, developing predictive models, and implementing algorithms to keep our members safe.

• Apply data science approaches to prevent fraud attempts commonly found on consumer facing SaaS applications, and answer key questions in support of decision making for fraud risk management

• Develop and implement advanced analytics models for fraud detection using machine learning and other statistical techniques

• Analyze large volumes of transactional data to identify patterns and trends associated with fraudulent activities

• Design and deploy real-time fraud monitoring systems to flag suspicious activities

• Design processes to evaluate and improve model performance over time

• Collaborate with Compliance and Security teams to enable data-driven decision making

• Develop and produce executive key performance metrics for fraud protection to report to operational risk teams and senior leadership

• Perform the design and optimization of algorithms for matching and pattern recognition using advanced approaches

• Collaborate with business and risk teams to refine risk metrics, risk assessment methodology, key performance and key risk indicators used to evaluate the overall risk profile of Inspira

• Evaluate fraud cases holistically to identify areas of improvement

• Develops and participates in presentations to internal stakeholders on analytic results and solutions