Overview
On Site
USD 160,600.00 - 171,200.00 per year
Full Time
Skills
Creative Problem Solving
Finance
Roadmaps
Use Cases
User Experience
Algorithms
Statistical Models
Strategic Planning
Risk Management
Agile
Project Delivery
Collaboration
Data Science
Workflow
Generative Artificial Intelligence (AI)
Training
Computer Science
Business Analytics
Large Language Models (LLMs)
Financial Services
Analytics
Natural Language Processing
Machine Learning (ML)
XGBoost
Logistic Regression
Solaris Volume Manager
Support Vector Machine
Python
SQL
NoSQL
Database
Elasticsearch
Customer Experience
Vertex
Artificial Intelligence
Insurance
Job Details
Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Job Responsibilities: Create AI roadmaps for enabling conversational platforms for different lines of business. Adapt latest large language models to use cases in Schwab to drive process efficiencies and enhance user experience. Build and implement descriptive and predictive models using Natural language processing techniques, machine learning algorithms, and statistical modeling techniques to generate insights that help business with tactical and strategic planning and comply with risk management policies. Follow Agile practices for project delivery.. Communicate the business value generated from different analyses and work with stakeholders for plan to action. Collaborate with cross function teams to understand requirements and translating into data science workflows. Apply machine learning, NLP, Generative AI and statistical techniques to generate/refine the optimal training corpus for the virtual assistant.
What you have
Job Requirements: Bachelor's degree in Computer Science, Business Analytics, or a related field and 60 months of progressive, post-Bachelor's related experience. Alternatively, a Master's degree in Computer Science, Business Analytics, or a related field and 36 months of related experience. Requires 24 months of experience involving the following: Applications of large language models including GPT 3.5, GPT 4, Gemini, Llama, PaLM in Financial services; Conversational AI analytics pipeline, AI Ops, LLM Ops and Natural Language Processing Techniques; Implementing Machine Learning and Statistical techniques like Random Forest, XGBoost, Linear and Logistic Regression, CART or SVM; Python programming; SQL and NoSQL databases; and Conversational AI platforms like Google Dialogflow ES/CX and Vertex AI.Requires 24 months of experience involving the following: Applications of large language models including GPT 3.5, GPT 4, Gemini, Llama, PaLM in Financial services; Conversational AI analytics pipeline, AI Ops, LLM Ops and Natural Language Processing Techniques; Implementing Machine Learning and Statistical techniques like Random Forest, XGBoost, Linear and Logistic Regression, CART or SVM; Python programming; SQL and NoSQL databases; and Conversational AI platforms like Google Dialogflow ES/CX and Vertex AI.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Job Responsibilities: Create AI roadmaps for enabling conversational platforms for different lines of business. Adapt latest large language models to use cases in Schwab to drive process efficiencies and enhance user experience. Build and implement descriptive and predictive models using Natural language processing techniques, machine learning algorithms, and statistical modeling techniques to generate insights that help business with tactical and strategic planning and comply with risk management policies. Follow Agile practices for project delivery.. Communicate the business value generated from different analyses and work with stakeholders for plan to action. Collaborate with cross function teams to understand requirements and translating into data science workflows. Apply machine learning, NLP, Generative AI and statistical techniques to generate/refine the optimal training corpus for the virtual assistant.
What you have
Job Requirements: Bachelor's degree in Computer Science, Business Analytics, or a related field and 60 months of progressive, post-Bachelor's related experience. Alternatively, a Master's degree in Computer Science, Business Analytics, or a related field and 36 months of related experience. Requires 24 months of experience involving the following: Applications of large language models including GPT 3.5, GPT 4, Gemini, Llama, PaLM in Financial services; Conversational AI analytics pipeline, AI Ops, LLM Ops and Natural Language Processing Techniques; Implementing Machine Learning and Statistical techniques like Random Forest, XGBoost, Linear and Logistic Regression, CART or SVM; Python programming; SQL and NoSQL databases; and Conversational AI platforms like Google Dialogflow ES/CX and Vertex AI.Requires 24 months of experience involving the following: Applications of large language models including GPT 3.5, GPT 4, Gemini, Llama, PaLM in Financial services; Conversational AI analytics pipeline, AI Ops, LLM Ops and Natural Language Processing Techniques; Implementing Machine Learning and Statistical techniques like Random Forest, XGBoost, Linear and Logistic Regression, CART or SVM; Python programming; SQL and NoSQL databases; and Conversational AI platforms like Google Dialogflow ES/CX and Vertex AI.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
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