Data Scientist III -Financial Crimes

Nous utilisons des témoins pour fournir et améliorer nos services de sorte à vous offrir une expérience plus personnalisée, et les services de suivi sont désactivés. Pour en savoir plus sur les témoins utilisés et pour consulter vos préférences, veuillez vérifier les paramètres de votre navigateur ou sélectionner Accepter pour consentir à l’utilisation des témoins.

Avertissement :
Pour les visiteurs de l’Union européenne et du Royaume-Uni, seuls les témoins strictement nécessaires sont utilisés sur ce site. Ces témoins sont nécessaires au bon fonctionnement du site Web et ne peuvent pas être désactivés. Ils sont généralement mis en place uniquement en réponse à des actions que vous effectuez et qui équivalent à une demande de services, comme configurer vos préférences en matière de confidential ité, ouvrir une session ou remplir des formulaires.

Vous pouvez configurer votre navigateur pour qu’il bloque ces témoins; toutefois, certaines sections du site ne fonctionneront pas. Ces témoins n’enregistrent pas de renseignements personnels permettant l’identification.

The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We are seeking talented data scientists to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting.
* Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
* Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
* Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
* Position typically deals with senior/executive management
* Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
* Focuses on longer-range planning for functional area (e.g. 12 months or greater)
* May manage and prioritize multiple projects at a given time
* Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
* 5+ year of relevant experience; higher degree education and research tenure can be counted
* Strong foundation in regression, classification, and machine learning models
* Proficiency with Python and SQL is a must
* Experience in Financial Crimes / Compliance Risk Analytics is a plus
* Hands-on experience with GenAI applications is a strong plus, including but not limited to fine-tuning or prompting LLMs, ability to build analytical solutions using LLM APIs, and use GenAI applications to tackle data labeling tasks
* Analytical thought leadership and stays current on developments in data mining and the application of data science
* Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
* Educates the organization on approaches, such as testing hypotheses and statistical validation of result
* Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
* Translates up to date information into continuous improvement activities that enhances performance
* Adheres to enterprise frameworks or methodologies that relate to activities for business area
* Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external…