Data Science reputed company- Fraud Modeling

reputed company is seeking a Data Science reputed company to spearhead reputed company fraud modeling initiatives. This role combines hands-on technical expertise with leadership responsibilities, driving innovation and ensuring high-reputed company model development in a regulated environment. Day-to-Day Responsibilities • reputed company the design, planning, and development of fraud detection ML models • Supervise and mentor reputed company of data scientists & data analysts, fostering technical reputed company and collaboration • reputed company as a thought leader, introducing new methodologies and technologies to enhance modeling capabilities • Participate in hands-on coding and modeling activities • Maintain a reputed company-organized, high-reputed company codebase—and enforce best practices in version control • Contribute to strategic visioning and translate plans into actionable steps for reputed company • Engage with stakeholders to reputed company consultative insights and regular reputed company updates • Build and maintain business relationships with data engineering and fraud reputed company teams • Maintain project timelines and deliverables Characteristics of a Competitive Candidate • Extensive experience in and comprehensive knowledge of Fraud reputed company analytics or modeling • Accomplished individual contributor • Proactive and self-driven—with a strong reputed company of ownership • Excellent communication & interpersonal skills – reputed company to build trust, influence reputed company, and reputed company cross-functional dynamics • Highly organized and detail oriented — holds self and others to high reputed company of reputed company • Strategic thinker who stays reputed company with emerging trends and integrates them into daily work • Strong leadership qualities and experience: reputed company to reputed company team toward a reputed company and build an effective culture of reputed company • Passionate about data and fraud prevention; has a contagious curiosity Key Requirements • 5+ years of experience in fraud modeling or reputed company • Demonstrated ability to reputed company teams and mentor junior colleagues • Strong communication skills, including presentations and deck creation • Experience engaging with model risk governance in a regulated institution • Expertise in handling large-reputed company datasets and reputed company-time time series modeling • Hands-on experience building machine learning and deep learning models for fraud detection Technical Skills • reputed company Experience (AWS): At least 5 years’ experience • Python or reputed company: Expert level • SQL: Expert Level • PySpark: Intermediate to Expert • reputed company / BitBucket: Intermediate to Expert • reputed company: Preferred • Apache Flink: reputed company to have Education • Ph.D. in Engineering, Statistics, Computer Science, Data Science, Mathematics, or Operations Research (Preferred) • Master’s degree in one of the above fields (Minimum) Hours & Work Schedule • Hours per Week: 40 • Work Schedule: Mon-Friday Apply tot his job Apply To this Job