To develop and maintain collection scorecards, segments for portfolio intervention, and transaction-level authorization strategies and oversee implementation of credit & fraud decision engine deployment for the organization.
Responsibilities
Develop customized collection scorecards for each assigned delinquency stage
Develop self-cure models for customized collection interventions & cost control
Develop micro-segments for effective portfolio interventions & to maintain acquisition quality
Develop transaction-level scorecards as input to the authorization strategy and cross-sell qualification
Seeking a Data Scientist II to join the Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, ensuring Generative AI is enterprise-ready, safe, and effective for users at scale.
Responsibilities
Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features
Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings
Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases
Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance
Develop and refine annotation guidelines and quality frameworks for evaluation tasks
Requirements
Master's degree in Science, Technology, Engineering, or Mathematics (STEM)
Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Interns will work closely with senior-level statisticians on statistical methodology and/or application topics related to the design and analysis of clinical trials and/or nonclinical research on a variety of therapeutic areas.
Perform data analysis and simulations to demonstrate utility or research
Present project work to internal and external stakeholders
Write summary reports
Requirements
Master’s or doctorate in statistics, biostatistics, applied mathematics, or data sciences (with at least one year of coursework and thesis/dissertation work)
Define fraud prevention strategy across real-time payment channels, own real-time decisioning, and lead platform and capability builds to protect client and Vanguard interests.
Locations (2)
Malvern, Pennsylvania, United States
Melbourne, Victoria, Australia
Responsibilities
Define fraud prevention strategy across real-time payment channels, including risk appetite and control coverage
Design and manage fraud rules, decision logic, and detection strategies within real-time decisioning platforms
Drive enhancements and implementation of fraud rules engines and decisioning platforms in partnership with engineering
Monitor and improve fraud detection, false positives, and client friction through ongoing control tuning and performance management
Use analytics and model insights to identify trends, refine strategies, and improve detection effectiveness
Requirements
Undergraduate degree or equivalent combination of training and experience
The Biostatistician I is responsible for providing statistical support, including study design, sample size and protocol development in support of clinical projects.
Compensation
The salary range for the role is $59895 - $89843 Annually.
Responsibilities
Prepares statistical analysis plans, timelines for statistical project management and performs and interprets basic and complex analyses.
Documents analyses, creates summaries and presents written and verbal results to requestors.
Writes statistical text for study reports and clinical publications.
Prepares analysis plans and methods used for incorporation in abstracts, manuscripts and grants.
Identifies potential data problems from analytic queries and takes appropriate actions to guide the resolution process.
Requirements
Masters degree in biostatistics, computational biology or related
Analista de Datos Jr Auditoria enfocado en elaborar la operativa de distintas áreas de Grupo Santander mediante análisis de registros y procesos conforme a normativa vigente, aportando observaciones y sugiriendo mejores prácticas para optimizar recursos y minimizar riesgo.
Responsibilities
Elaborar la operativa de las distintas áreas de Grupo Santander mediante el análisis de los registros, procesos conforme a la normativa vigente, para aportar observaciones y sugerir mejores prácticas que optimicen el uso de los recursos y minimicen el factor de riesgo.
Analizar la metodología y programas de trabajo relacionados con la auditoría.
Analizar las actualizaciones y cambios normativos, organizativos y aspectos relevantes que afecten a las unidades auditadas.
Seeking a highly motivated Summer Intern to join our Statistical Methodology team at Sanofi.
Compensation
The salary rate for this position is $57 USD hourly. All compensation will be determined commensurate with demonstrated experience.
Responsibilities
Literature review & methodology research – survey recent advances in statistical methods for oncology trials, including survival analysis, estimands, adaptive designs, and emerging methodology such as Prediction-Powered Inference (PPI), machine learning, etc.
Design and implement simulation studies in R and/or SAS to evaluate the operating characteristics of novel statistical methods (Type I error, power, bias, coverage).
Prepare statistical methodology documentation or paper and present a final deliverable (slide deck + technical memo) summarizing literature review, case study insight, simulation findings, and methodology exploration.
Requirements
PhD in Biostatistics, Statistics, or a related field
Nice to have: at least 3 years of doctoral-level coursework
Nice to have: prior internship or research experience in the pharmaceutical/biotech industry
Senior Specialist responsible for developing and communicating data-driven insights to support US/Global market engagement for Digital Human Health products and services.
Compensation
$129,000.00 - $203,100.00
Responsibilities
Translate business needs into analytical plans and actionable insights
Communicate advanced analytics to stakeholders
Collaborate with cross-functional teams in market research, forecasting, commercial analytics, data science, and more
Stay current with industry trends and GenAI applications
Contribute to innovative experiments and idea generation
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