Chase · 6 hours ago
AWM Risk Analytics Group – Data Scientist - Vice President
390 Madison Ave, New York, NY, 10017, US
Full-time
Onsite
Mid Level
$124K/yr - $210K/yr
4+ years expChase is a leading financial institution offering innovative financial solutions. As a Vice President Data Scientist in the AWM Risk Analytics Group, you will collaborate with quantitative and market risk professionals to develop data-driven risk analytics solutions, enhancing decision-making and operational efficiency.
BankingFinancial Services
Responsibilities
Identify and evaluate use cases for data science to enhance risk analytics and create business value
Lead the development and continuous improvement of AI/ML and statistical techniques for data validation and analytics
Design, pre-train, and fine-tune production-grade language models for hierarchical classification, summarization, and QA
Collaborate with stakeholders to deliver scalable, flexible solutions using approved AI and LLM technologies
Perform prompt engineering, quantization, and evaluation to optimize large language model robustness and performance
Analyze and onboard new, large data sets, ensuring alignment with best practice data models and architecture
Partner with Technology teams to optimize model performance and deployment using customized training frameworks
Design and implement sophisticated model serving systems leveraging distributed systems and AWS cloud
Contribute to the research and enhancement of risk methodologies, including sensitivity, stress, VaR, factor modeling, and Lending Value pricing
Support the full product development lifecycle, from defining objectives to delivering key data-driven solutions
Communicate complex technical concepts clearly to both technical and non-technical stakeholders
Qualification
Required
Minimum 4 years' experience as a Data Scientist or in an applied AI/quantitative role, developing and deploying NLP and predictive models
Strong foundation in statistics, applied AI/ML techniques, and advanced problem-solving
Hands-on experience with distributed computing, NLP (entity recognition, text classification, summarization, QA), and LLM optimization
Proficiency in Python, SQL, R, PyTorch or TensorFlow, and AWS
Experience with frameworks such as LangChain, LangGraph, or AutoGen
Demonstrated ability to improve model robustness and conduct advanced statistical modeling and A/B testing
Detail-oriented, able to multi-task, and work independently in a fast-paced environment
Excellent communication and collaboration skills
Experience in modular programming and big data platforms
Bachelor's degree in a quantitative or technology field (AI, Mathematics, Statistics, Engineering, Computer Science, or equivalent)
Proven track record of delivering data-driven solutions in a business context
Preferred
Experience in financial markets in a quantitative analysis, research, or risk management role
Knowledge of asset pricing, VaR backtesting, and model performance testing
Advanced degree (Master's or PhD) in a quantitative or technology discipline
Experience with model serving systems and distributed architectures
Familiarity with citizen developer platforms and process automation
Exposure to Front Office or equivalent financial roles
Demonstrated ability to drive innovation and efficiency in risk analytics
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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