Manager, Data Scientist - Model Risk Office Job at Capital One (McLean)

Senior Manager, Data Science - Model Risk Office

Senior Manager, Data Science - Model Risk Office Data is at the center of every...

Location

United States , McLean, Virginia; Richmond, Virginia; Riverwoods, Illinois; New York, New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 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 5 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 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Manager, Data Scientist - Deposit Forecasting and Pricing

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean

Salary:

197300.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

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 databases

Job Responsibility

Develop and support econometric time-series models for the balance sheet
Identify opportunities to apply quantitative methods to improve business performance
Demonstrate track record in behavior model development
Ability to clearly communicate models and methods to management, model risk office, regulators and other modelers
Develop and maintain high quality and transparent documentation

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

AI Data Engineer

We’re seeking an AI Data Engineer to support with building next‑generation analy...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Be a motivated engineer with foundational experience with data pipelines, and emerging AI techniques
Hold previous experience contributing to AI-related use cases or pilots, and show a clear interest in how technology is evolving across front-office trading environments
Bring a learning mindset and an understanding of the challenges involved in applying AI responsibly within low-latency, high-risk trading systems

Job Responsibility

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Manager, Product Management

We’re looking to hire a Manager, Product Management for AI/ML Model Governance t...

Location

India , Bengaluru

Salary:

Not provided

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's in Engineering or Technology
At least 8 years of work experience in tech industry
At least 5 years of experience in product management
At least 3 years of experience in building Enterprise AI/ML platform products or AI/ML powered products for enterprises.

Job Responsibility

Develop and communicate the product vision and strategy for your area of responsibility
Deeply understand the needs of data scientists, machine learning engineers and model risk officers across Capital One
Partner with business and technology leadership to align on prioritization of key problems to be solved to maximize business and customer outcomes
Collaborate with teams in India and USA to drive alignment with different teams working on the platform
Incorporate design thinking and analytics to inform product design
Maintain a healthy backlog of work and play a critical role in many agile ceremonies
Support the team with escalation and resolution of impediments
Serve as the connection between Customers, Capital One’s mission, and Tech. Partners.

Fulltime

Senior Manager, AI Governance

Leads the responsible and ethical use of Artificial Intelligence across our orga...

Location

United States , Houston

Salary:

Not provided

Sysco

Expiration Date

Until further notice

Requirements

Master’s degree from an accredited institution in a relevant field such as Computer Science, Engineering, Law, or Public Policy
Seven (7) years in a governance-focused role, with a strong background in legal, compliance, or data governance
Demonstrated ability to implement significant change projects, successfully integrating new governance practices into existing organizational structures
Practical experience in building and managing comprehensive project and program plans, including defining scope, objectives, and resource requirements
A track record of establishing a strong foundation for data quality and governance, treating data as a valuable organizational product
Experience in AI risk management, including the ability to identify potential risks, establish mitigation plans, and integrate compliance measures
Technical Acumen: A strong understanding of AI technologies and machine learning models, as well as their ethical implications
Legal & Regulatory Expertise: Comprehensive knowledge of relevant laws and industry standards for AI ethics, data protection, and privacy (e.g., EU AI Act, NIST AI Risk Management Framework)
Leadership & Strategic Thinking: Demonstrated leadership skills with the ability to influence and drive organizational change
Communication: Exceptional communication and stakeholder management skills, with the ability to articulate complex technical and ethical concepts to diverse audiences

Job Responsibility

Drive Framework Implementation and Enhancement: Lead the planning and execution of our AI governance framework
Manage AI-Specific Risks: Proactively identify, assess, and mitigate risks related to algorithmic bias, data privacy, security, and operational vulnerabilities
Ensure Regulatory Compliance: Stay current with the evolving legal and regulatory landscape
Integrate with Data Governance: Work closely with our Data Governance team to ensure seamless alignment between our AI and data governance frameworks
Foster Cross-Functional Collaboration: Partner with data scientists, engineers, legal counsel, compliance officers, and senior leadership
Build an AI Inventory: Take the lead on creating and maintaining a comprehensive inventory of our AI models and applications
Drive Training and Awareness: Develop and deliver enterprise-wide training programs to raise awareness about AI risks, ethical considerations, and compliance requirements

Fulltime

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Arrive, you will serve as a key technic...

Location

United States , Austin

Salary:

Not provided

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with ML ops, model serving and optimization
5+ years of experience with Python, object oriented programming and building highly scalable backend services
Expertise in frameworks like Sklearn, Pandas, Numpy
3+ years of experience with relational databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms like Statsig

Job Responsibility

Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the “gold standard” for ML engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
Own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability
Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers
Develop a thorough understanding of a domain and explain the behavior of and contribute to code bases that may be outside your domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices

What we offer

Comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours and more
Casual dress code
Convenient location close to the airport and downtown
Free on site parking
Fully stocked coffee bar, Broker’s Brew
Onsite gym
Free counseling sessions through Employee Assistance Program

Fulltime

AI Technical Product Manager

Lead development and implementation of complex information technology projects t...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Knowledge of Microsoft Office Suite, advanced Excel skills
Knowledge of information technology applications, processes, software and equipment
Highly specialized knowledge of a specific technology
Knowledge of advanced IT project management principles (e.g. Agile) and software
Demonstrated cross-functional project management experience
Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
Attitude that supports an Agile working environment
Master's degree in Computer Science, Engineering, Data Science, or related technical field
Experience with large language models, prompt engineering, or RAG systems

Job Responsibility

Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed
May manage a number of projects simultaneously
Bridge the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value
Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
Make informed decisions about model selection, data requirements, and infrastructure needs
Evaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies
Partner with engineering teams to prioritize features and manage the development lifecycle

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

New

Vice President

iCapital is looking to hire an investment product specialist Vice President to s...

Location

China , Hong Kong

Salary:

Not provided

iCapital Network

Expiration Date

Until further notice

Requirements

10+ years of experience working within the alternative investment industry in a client facing capacity (e.g., Investor relations at GPs or distribution specialist at placement agents, fund of funds and asset management firms with alternative investment product experience)
A self-starter who demonstrates the ability to work in a fast-paced entrepreneurial environment and follow a rigorous sales process
Strong team orientation with exceptional organizational and interpersonal skills especially in a cross-boarder and small team-working environment
Strong with Microsoft powerpoint and has excellent verbal and written communication skills
Local regulatory licensing is required
Relevant language skills is a plus

Job Responsibility

Leverage a consultative sales process to acquire new relationships, expand existing client relationships, and service assets under management
Develop high level of sales proficiency with iDirect offerings in private equity, private credit, and hedge funds and other future iDirect products and a good understanding of the asset class as well as product comparison purposes
Traveling is required to markets to meet with gatekeepers, advisors, industry bodies, end clients in support of the broader sales and educational effort
Assist in the planning and execution of roadshows and conferences
Work alongside the in region Client Solutions team personnel on client pitches, product positioning, and sales campaigns
Leverage technology input and reporting tools to support sales management activities

Fulltime

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Manager, Data Scientist - Model Risk Office

Job Description

Job Responsibility

Requirements

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What we offer

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