Risk Management-Gen AI- Lead Data Scientist- Vice Preseident
Risk Management-Gen AI- Lead Data Scientist- Vice Preseident
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Job Description
Are you looking for an exciting opportunity to solve largescale business problems using Generative AI Join our dynamic team to tackle these challenges as part of the Wholesale Credit Risk Quantitative Research Applied AI/ML team. You will develop innovative AI solutions leveraging the firms extensive data resources focusing on creating tools based on Large Language Models (LLMs) to enhance the EndtoEnd credit risk process across Wholesale. This role offers a unique chance to innovate and make a significant impact in credit risk management. If you are passionate about AI and eager to work on cuttingedge solutions we encourage you to apply.
As a Gen AI Data Scientist in the Wholesale Credit Risk Quantitative Research Applied AI/ML team you will develop AI solutions to address business challenges and enhance the credit risk process. You will collaborate with crossfunctional teams to translate requirements into technical solutions and manage the full lifecycle from Proof of Concept to productionready solutions. Your work will ensure the performance and reliability of deployed solutions staying informed on the latest AI/ML advancements.
Job Responsibilities
- Develop and implement AI solutions to address business challenges.
- Collaborate with crossfunctional teams to translate requirements into technical solutions.
- Formulate risk strategies to enhance risk monitoring using diverse data sources.
- Manage the full lifecycle from Proof of Concept to productionready solutions including stakeholder presentations and postimplementation monitoring.
- Ensure the performance and reliability of deployed solutions.
- Stay informed on the latest AI/ML advancements.
- Lead the development and rapid deployment of AI solutions influenced by macroeconomic factors and current events.
Required qualifications capabilities and skills
- Advanced degree in Data Science Computer Science Engineering Mathematics or Statistics.
- Minimum of 5 years of experience in applied AI/ML.
- Strong understanding and practical experience with Machine Learning; expertise in LLM/NLP.
- Proficiency in modern analytic and data tools especially Python/Anaconda TensorFlow Keras/PyTorch Spark and SQL.
- Experience in model implementation and production deployment.
- Excellent problemsolving communication and teamwork skills.
Preferred qualifications capabilities and skills
- Cloud experience.
- Background in financial services.
Employment Type
Full-Time
