Senior Manager, Data Science, Bank Operations

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Salary
$229,900–$262,400 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $246k
$134k most similar roles pay here $276k

This role pays more than 89% of similar roles. Most pay $147,600–$223,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $186k for comparable roles.

Based on 239 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Science, Bank Operations

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As a Senior Manager of Data Science in the Bank Operations team, you will lead the development of advanced machine learning models to enhance internal capabilities such as document reading, anomaly detection, and operational forecasting. Your day-to-day responsibilities include innovating with cutting-edge technologies like neural networks, LLMs, and transformer architectures to solve complex business problems. Ideal candidates are technical leaders who can drive creative solutions in a fast-paced environment. Proficiency in Python, R, or SQL is essential, along with experience in machine learning frameworks such as TensorFlow or PyTorch. This role requires expertise in natural language processing and predictive analytics within the financial services domain, addressing large-scale operational challenges at one of the world’s leading banks.

Skills

Python TensorFlow PyTorch Keras Scikit-learn Pandas NumPy Jupyter Neural Networks LLMs Transformer Architectures Agentic Experiences CI/CD Git Docker AWS Azure Google Cloud

What you'll do

  • Develop and implement machine learning models for check/document reading.
  • Identify anomalies in bank operations using advanced data science techniques.
  • Apply natural language processing to analyze call center interactions.
  • Forecast operational trends with predictive analytics tools and methods.
  • Lead the creation of innovative, industry-leading models using neural networks.
  • Utilize transformer architectures and large language models in projects.

What we're looking for

  • Extensive experience in building machine learning models using neural networks and transformer architectures.
  • Proven leadership skills in a data science or related technical team environment.
  • Strong background in natural language processing (NLP) and operational forecasting.
  • Experience with large language models (LLMs) and agentic experiences.
  • Innovative problem-solving abilities and creative approach to emerging technologies.

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