This role pays more than
55%
of similar roles. Most pay
$162,000–$248,687
— the shaded band above.
At the midpoint, this role pays about
$211k
versus about
$205k
for comparable roles.
Based on 240 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
998 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 992 roles with salary data.
Manager, Data Science - Model and Script Enhancement (MASE) Compliance joins the Compliance and Ethics Organization to manage regulatory compliance risk through assessment and advice. In this role, you will own and drive the Code Design Intent Review process, which evaluates whether computer code scripts meet specific regulatory requirements. You will monitor the Script Governance Inventory to identify high-risk items, perform assessments on scripts referred by testing programs or other channels, and report results to owners. The work involves identifying opportunities to leverage GenAI for automation and process improvement. Required skills include experience with machine learning, relational databases, and open source programming languages. Preferred qualifications include proficiency in Python, SQL, and Java, along with specific expertise in banking regulatory compliance. You will solve complex problems regarding the alignment of technical scripts with mandatory regulatory standards.
Own and drive the assessment process for Code Design Intent Review (CoDIR) over computer code scripts.
Evaluate whether script designs meet specific regulatory requirements and report results to owners.
Execute a methodology to identify scripts with high compliance risks.
Monitor the Script Governance Inventory to identify candidates for CoDIR review.
Perform CoDIR assessments on scripts identified through model risk assessments or compliance testing programs.
Identify opportunities to use GenAI and other technologies to improve process automation.
Advise the business on how to manage identified compliance risks in models and scripts.
What we're looking for
A Bachelor's degree in a quantitative field plus 6 years of data analytics experience, or a Master's/MBA with 4 years of experience, or a PhD with 1 year of experience.
At least 1 year of experience leveraging open source programming languages for large scale data analysis.
At least 1 year of experience working with machine learning.
At least 1 year of experience utilizing relational databases.
At least 4 years of experience in Python, SQL, and Java.
At least 4 years of experience with machine learning.
Experience in banking regulatory compliance.
Familiarity with coding logic and building/validating models.
Machine Learning
Python
Scala
R
AWS
Relational Databases
Gradient Boosting
Deep Learning
Clustering
Classification
Sentiment Analysis
Big Data
Statistical Modeling
econometric, s
open-source tools