Top 4072 Manager, data scientist model risk office Jobs in Richmond Va

Manager, Data Scientist - Model Risk Office
Capital One —Richmond, VA
- Email
- Computer Science
- Research
- AWS
- Health insurance
Project Manager - Multifamily/Telecom
Internet Subway —Richmond, VA
- $90,000 a year
- Full-time
- Construction site
- Mid-level
- 3 years
- Health savings account
- Health insurance
Quick Apply
14d
Museum Curator & Manager of Outreach
Tidewater Big Bend Foundation —New Kent, VA
- From $75,000 a year
- Full-time
- Background check
- 5 years
- Residential
- Relocation assistance
- Health insurance
Quick Apply
11d
BCBA-Program Supervisor
The Faison Center —Richmond, VA
- $83,500 - $104,000 a year
- Full-time
- Writing skills
- English
- Mid-level
Quick Apply
Project Manager (Kitchens and Bathrooms)
MTM LLC —Richmond, VA
- $60,000 - $80,000 a year
- Full-time
- Management
- Construction site
- Mid-level
- Health insurance
- Dental insurance
Quick Apply
8d
Working Supervisor
First Class Contracting of Tidewater —Glen Allen, VA
- $25 - $35 an hour
- Full-time
- CPR Certification
- Clean driving record
- Management
- Paid time off
Quick Apply
Warehouse Manager with Diesel parts knowledge
Central Diesel Inc —Richmond, VA
- $19 - $20 an hour
- Full-time
- Clean driving record
- Computer literacy
- Maintenance
- Health savings account
- Health insurance
Quick Apply
11d
Estate Manager & Executive Liaison
Tidewater Big Bend Foundation —New Kent, VA
- From $125,000 a year
- Full-time
- Sales
- 5 years
- Residential
- Relocation assistance
- Health insurance
Quick Apply
14d
Social Media Manager — Duke's Mayo
Sauer Brands, Inc. —Richmond, VA
- $86,500 - $129,800 a year
- Weekends as needed
- Hybrid work
- Mid-level
- Travel
- Leadership
- Disability insurance
- Health insurance
Quick Apply
Human Resources Manager - Senior
James River Carriers —Richmond, VA
- $60,000 - $80,000 a year
- Full-time
- Background check
- Management
- 5 years
- Disability insurance
- Health insurance
Quick Apply
4d
Commercial Construction Project Manager
Confidential —Richmond, VA
- Full-time
- Background check
- PMP
- Construction site
- Fuel card
- Health insurance
Quick Apply
Technical Engineering Lead
Resource Environmental Solutions LLC —Richmond, VA
- $130,500 - $152,000 a year
- Engineering
- 3 years
- Mentoring
Senior Account Manager
Confidential —Richmond, VA
- $75,326 - $85,428 a year
- Email
- Marketing
- Office
- Bachelor's degree
- Paid holidays
- Health insurance
Quick Apply
1d
RN Manager Free Standing Emergency Department
Henrico Doctors' Hospital —Richmond, VA
- $84,926.40 - $127,400.00 a year
- Full-time
- Mid-level
- 3 years
- Neurology
- Employee stock purchase plan
- Disability insurance
Quick Apply
Project Manager
Emmaty, Inc —Fort Gregg-Adams, VA
- $90,000 - $110,000 a year
- Full-time
- Construction site
- Engineering
- 3 years
- Travel reimbursement
- Paid holidays
Quick Apply
7d
Assistant Manager (dmbvda)
Dreyfuss Management —Midlothian, VA
- $22 - $24 an hour
- Full-time
- Background check
- Spanish
- Microsoft Excel
- Health insurance
- Dental insurance
Quick Apply
Store Manager
East Coast Appliances Sales Service and Parts INC —North Chesterfield, VA
- Weekends as needed
- Mid-level
- Retail management
- Communication skills
- Paid training
- Flexible schedule
2d
Assistant General Manager
Gold's Gym —Richmond, VA
- $30,000 - $50,000 a year
- Weekends as needed
- CPR Certification
- Sales
- Merchandising
- Disability insurance
- Health insurance
Quick Apply
Estimator / Project Manager - Water Mitigation
Capital Fire & Water, Inc. —Richmond, VA
- $60,000 - $75,000 a year
- Full-time
- Background check
- Clean driving record
- Mid-level
- Profit sharing
- Health insurance
Quick Apply
3d
F&I Manager (N)
Mechanicsville Honda —Mechanicsville, VA
- $90,000 - $145,000 a year
- Background check
- Dealership
- Pass drug screening
- Health insurance
- Dental insurance
4d

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manager, data scientist model risk office jobs near richmond va

Manager, Data Scientist - Model Risk Office

Capital One -
Richmond, VA

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Job Details

Full-time

Benefits

Health insurance

Qualifications

AI models
Predictive modeling analysis
SQL databases
Relational databases
Machine intelligence
Data-driven problem-solving
Data analysis software

Full Job Description

Manager, Data Scientist - Model Risk Office

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence.

Role Description

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
Leverage a broad stack of technologies — from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more — to reveal the insights hidden within huge volumes of multi-modal data
Build machine learning models to challenge “champion models” that are deployed in production today and contribute to the model governance framework for the next generation of models
Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives.

The Ideal Candidate is:

Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
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 or vector databases

Preferred Qualifications:

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years’ experience in Python, Scala, or R for large scale data analysis
At least 4 years’ experience with machine learning, including GenAI
At least 4 years’ experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Chicago, IL: $179,400 - $204,700 for Mgr, Data Science

McLean, VA: $197,300 - $225,100 for Mgr, Data Science

Richmond, VA: $179,400 - $204,700 for Mgr, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Refine Your Search

manager, data scientist model risk office jobs in richmond va

Manager, Data Scientist - Model Risk Office

Project Manager - Multifamily/Telecom

Museum Curator & Manager of Outreach

BCBA-Program Supervisor

Project Manager (Kitchens and Bathrooms)

Working Supervisor

Warehouse Manager with Diesel parts knowledge

Estate Manager & Executive Liaison

Social Media Manager — Duke's Mayo

Human Resources Manager - Senior

Commercial Construction Project Manager

Technical Engineering Lead

Senior Account Manager

RN Manager Free Standing Emergency Department

Project Manager

Assistant Manager (dmbvda)

Store Manager

Assistant General Manager

Estimator / Project Manager - Water Mitigation

F&I Manager (N)

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