Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries
Requirements
- Strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation
- Experience using deep learning models, particularly for sequential data
- Experience working with Open Banking or Credit Bureau data
- Experience working with multi-modal data; in multiple formats from a variety of different sources
- Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies
- Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring
- Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value
- Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form
- A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions
Responsibilities
- Develop and maintain the machine learning models which define our competitive advantage in the financial services market
- Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation
- Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights
- Consult on complex statistical test design, to efficiently learn our way into new areas of the market
- Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the work location and arrangement for this role?
This is a permanent position based in the Nottingham office with a hybrid working model, requiring you to be in the office 3 days a week.
What are the key skills required for this Data Scientist role?
Key skills include a strong understanding of probability, statistics, machine learning, and feature extraction; experience with deep learning models for sequential data; working with Open Banking or Credit Bureau data and multi-modal data; and producing reliable Python code.
What is the salary or compensation for this position?
This information is not specified in the job description.
What is the company culture like for the Data Science team?
The Data Science team is talented, collaborative, and enthusiastic, focusing on deriving insights from complex data in close collaboration with business partners, with a commitment to creating diverse teams representative of customers and communities.
What makes a strong candidate for this Data Scientist - Statistician role?
Strong candidates have natural curiosity, proactive engagement with the business, ability to communicate findings to diverse audiences, and a drive for continued learning, along with experience in Model Risk Management and challenging the status quo.
Capital One
Offers diverse financial products and services
About Capital One
Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.
McLean, VirginiaHeadquarters
2014Year Founded
$15.9MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Medical, Dental, & Vision coverage
Onsite Health Centers
Prescription saving with network of local pharmacies
Stock Purchase Plan
Education Assistance
401(k)
Flexible Spending Accounts
Life and Disability insurance
Generous paid time off + corporate & floating holidays
Registered dieticians on site, cooking classes and free virtual fitness classes
Employee Assistance Program
Risks
Increased competition in subscription management tools may dilute Capital One's advantage.
Over-reliance on partnerships could expose Capital One to technological risks.
Departure of key personnel like Joe Rodriguez may affect risk management continuity.
Differentiation
Capital One offers user-friendly banking with no fees or minimums for checking accounts.
The company partners with Khan Academy to provide financial literacy education.
Capital One is the first major U.S. bank to offer subscription management tools.
Upsides
Capital One's mobile app is a model for secure, user-friendly digital banking.
Data sharing with Worldpay enhances payment security and fraud prevention.
Partnerships with fintechs like Minna Technologies improve customer experience.
Related Jobs
RemoteRemoteQuantitative Analyst II
AffirmSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteSenior Director, Statistical Methodologist
BiogenSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteData Science Manager
SentiLinkSalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemoteSenior Data Scientist, Advanced Analytics
TRM LabsSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteSenior Data Scientist
AmerenSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteSenior ML/AI Data Scientist - Remote
ExpediaSalary not specified
RemoteData Scientist
Ondo FinanceSalary not specified
- Full Time
- Junior (1 to 2 years)