Millennium Trust
Sr. Data Scientist, Fraud Analytics (Remote)
Millennium Trust, Oak Brook, Illinois, United States, 60523
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.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.
Develop and participate in presentations to internal stakeholders on analytic results and solutions.
Work with internal stakeholders to translate their business needs into analytic projects.
Lead projects from beginning to end.
Maintain knowledge and understanding of current trends, laws, and issues in the Fraud/Risk space.
Compile, review, and assess information from academic journals, market sources, and other reports to maintain state of the art knowledge.
Provide input to overall Insights strategy.
Other duties as assigned.
IF YOU HAVE SOME OR ALL OF THE FOLLOWING, APPLY:7-10 years of experience in Data Science, Statistics, or other mathematics.
Master’s Degree in Statistics, Mathematics, Computer Science, Engineering, Data Science.
Specialization in Fraud analytics with 3+ years of experience.
Proficiency in programming languages such as Python, SQL and R.
Experience with Docker Containers.
Excellent analytical skills with a proactive nature.
Strong organization skills with a drive to meet deadlines.
An affinity for accuracy and efficiency.
Proficiency in Microsoft Excel, Word (including mail merge) and Outlook.
Strong verbal and written communication skills.
An aptitude for prioritization and multi-tasking.
Strong collaboration skills.
A drive to learn and apply new concepts quickly.
Experience with Salesforce CRM preferred.
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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.
Develop and participate in presentations to internal stakeholders on analytic results and solutions.
Work with internal stakeholders to translate their business needs into analytic projects.
Lead projects from beginning to end.
Maintain knowledge and understanding of current trends, laws, and issues in the Fraud/Risk space.
Compile, review, and assess information from academic journals, market sources, and other reports to maintain state of the art knowledge.
Provide input to overall Insights strategy.
Other duties as assigned.
IF YOU HAVE SOME OR ALL OF THE FOLLOWING, APPLY:7-10 years of experience in Data Science, Statistics, or other mathematics.
Master’s Degree in Statistics, Mathematics, Computer Science, Engineering, Data Science.
Specialization in Fraud analytics with 3+ years of experience.
Proficiency in programming languages such as Python, SQL and R.
Experience with Docker Containers.
Excellent analytical skills with a proactive nature.
Strong organization skills with a drive to meet deadlines.
An affinity for accuracy and efficiency.
Proficiency in Microsoft Excel, Word (including mail merge) and Outlook.
Strong verbal and written communication skills.
An aptitude for prioritization and multi-tasking.
Strong collaboration skills.
A drive to learn and apply new concepts quickly.
Experience with Salesforce CRM preferred.
#J-18808-Ljbffr