Lead a desk‑facing quantitative strategy team within Treasury Modeling focused on securities lending, inventory optimization, financing economics, and balance‑sheet efficiency.
Compensation
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
Responsibilities
Set the quantitative strategy, priorities, and multi‑year roadmap for securities lending quant team
Lead, develop, and retain a high‑performing team of quantitative strategists
Partner directly with traders, desk leadership, Treasury, Finance, Model Risk Management, product, technology, and operations
Own the development of quantitative solutions supporting inventory availability, borrow demand, locates, pricing, utilization, segregation, collateral deployment, concentration risk, and desk‑level P&L attribution and explainability
Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features.
Responsibilities
Lead the development and evolution of advanced data science and machine learning capabilities
Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment
Develop advanced algorithms and models using techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling
Partner closely with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable ML solutions
Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and ML engineering
Lead strategic analysis and analytics initiatives to shape talent decisions and workforce strategy at Capital One.
Locations (3)
McLean, Virginia, United States
New York, New York, United States
Richmond, Virginia, United States
Compensation
McLean, VA: $164,800 - $188,100 for Business Manager
New York, NY: $179,700 - $205,100 for Business Manager
Richmond, VA: $149,800 - $171,000 for Business Manager
Responsibilities
Apply strategic and analytical skills to solve complex talent questions
Use data & analysis to support workforce planning and organizational strategy
Design frameworks for evaluating workforce program success
Develop analyses and tools to retain and develop talent
Drive and build key programs and analytics solutions
Lead bioinformatics strategy and analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Compensation
The annual base pay for this position ranges from $181,570.40 -$272,355.60 USD Annual.
Responsibilities
Lead bioinformatics strategy and hands‑on analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Develop, evaluate, and apply reproducible workflows for sequencing quality control, variant detection, copy‑number and other genomic analyses, ctDNA quantification, molecular response, and longitudinal disease monitoring.
Design rigorous benchmarking studies to compare assays, computational pipelines, calling thresholds, and analytical approaches using reference materials, orthogonal methods, tissue–plasma comparisons, and clinical datasets.
Build statistical, predictive, and mechanistic models that integrate genomic, ctDNA, clinical, and other biomarker data to generate actionable biological insights and support development decisions.
Define fit‑for‑purpose analysis plans, performance metrics, validation criteria, and standards for reproducibility, traceability, statistical rigor, and scientific interpretation.
Requirements
PhD in Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, Biomedical Engineering, or a related quantitative field.
Lead a team of data scientists to develop advanced analytics, predictive models, and data-driven insights that optimize pricing strategies, customer lifetime value, and revenue growth.
Responsibilities
Act as a trusted advisor to senior business leaders
Lead and develop a team of highly technical data scientists
Partner with stakeholders to define business problems and recommend analytical approaches
Establish strategic plans and objectives
Create and approve project plans and application designs
Requirements
Bachelor's Degree in Computer Science, MIS, Business Administration or similar area of study
High School Diploma or GED and 4 years of relevant experience
მოდელების რისკების მართვის გუნდში მუშაობა, სტატისტიკური, მანქანური სწავლების და GenAI მოდელების ვალიდაცია, რეპორტების მომზადება და მოდელების რეგისტრაცია.
Responsibilities
მოდელების რისკის დონის შეფასება არსებული პოლიტიკისა და სტანდარტების მიხედვით
ახალი და არსებული მოდელების ვალიდაცია
ვალიდაციის შედეგების დეტალური რეპორტების მომზადება
მოდელების რეგისტრაციისა და მართვის პროცესის უზრუნველყოფა
Lead data science initiatives for R&D teams, developing and deploying machine‑learning models, experimental designs, and analytical tools on the Uncountable platform to accelerate product development.
Responsibilities
Partner with R&D teams to translate scientific challenges into DoE and optimization studies
Explore experimental data using visualization, statistical, and machine‑learning tools
Onboard and coach R&D scientists on the platform
Interpret model outputs and recommend experiments
Develop custom analyses, models, and tools beyond the platform
Requirements
M.S. or Ph.D. in a quantitative field such as Chemistry, Materials Science, Chemical Engineering, Data Science, or a closely related discipline
Nice to have: Bayesian optimization
Nice to have: design of experiments
Nice to have: active‑learning methods
Nice to have: product‑development processes in materials or chemicals
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