Take responsibility for stability of platform and control company standards, developing existing features, and implementing new functionalities across Europe supporting incident management.
Responsibilities
Take responsibility for stability of platform and control company standards
Develop existing features according to best practices
Implement new functionalities in 15+ countries across Europe
Lead and architect advanced analytics and machine learning solutions within the Microsoft cloud ecosystem to support strategic decisions in regulated healthcare environments.
Compensation
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 – $180,000.00 annually, based on role scope, experience, and market considerations.
Responsibilities
Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise‑level decision‑making across healthcare, operations, finance, and customer/member domains.
Own end‑to‑end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility.
Design analytics solutions natively within the Microsoft cloud analytics stack, ensuring alignment to enterprise data architecture and governance standards.
Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high‑impact, production‑ready analytics.
Requirements
Master's degree in data science, statistics, mathematics, computer science, engineering, or related field
Principal‑level data scientist responsible for architecting, delivering, and governing enterprise‑grade advanced analytics and machine learning solutions in regulated healthcare environments.
Compensation
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 – $180,000.00 annually, based on role scope, experience, and market considerations. This position is not eligible for bonus or incentive compensation.
Responsibilities
Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise‑level decision‑making across healthcare, operations, finance, and customer/member domains.
Own end‑to‑end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility.
Design analytics solutions natively within the Microsoft cloud analytics stack.
Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high‑impact, production‑ready analytics.
Requirements
Master's degree in data science, statistics, mathematics, computer science, engineering, or related field
The Information Risk function serves as the Bank’s Second Line of Defense (2LOD), independently assessing and monitoring information risks across the organization.
Responsibilities
Drive risk identification by proactively analyzing data from enterprise and technical management systems, security scanning tools, and identity management solutions to uncover and track risk trends.
Synthesize and communicate insights by aggregating complex data and generating detailed reports that inform key stakeholders and decision-making committees.
Deliver actionable recommendations for risk mitigation strategies, leveraging data-driven analysis to influence business outcomes.
Ensure accuracy and completeness of all risk management documentation and reports submitted to internal and external auditors and regulators, upholding the highest standards of integrity.
Collaborate strategically with business control offices and risk reporting functions to align and deliver timely information risk management reporting.
Requirements
Bachelor’s degree (preferred in Finance, Accounting, Business, or Analytics, Computer Science)
Teach Information Technology courses online and on campus, delivering lectures, facilitating virtual meetings, and maintaining student-centered learning environments.
Responsibilities
Create an environment of learning through effective teaching skills
Maintain student-centered focus and stay current with industry standards
Utilize a variety of teaching strategies and encourage active learning
Perform lectures for campus courses and hold scheduled virtual course meetings
Interact positively with diverse student populations
Requirements
Bachelor’s degree in Information Technology, Information Systems, Information Security, Computer Science, Engineering or related discipline
Senior Data ScientistNewVersant Health · Troy, US
CR2020 SQA系統驗證工程師NewWNC Corporation (formerly Wistron NeWeb Corporation) · 新竹, Taiwan
Cyber Pentest Sr AnalystNewTexas Capital · Richardson, US
Prediction Market AnalystNewInteractive Brokers NA · Greenwich, US
Adjunct Faculty - Computer Science MastersNewFull Sail University · US