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 US Card Acquisitions Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions of a new
credit card customer. We collaborate closely with a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation.
We are a team of model developers, who own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are also a team of creative problem solvers, who challenge the status quo on a continuous basis and are devoted to innovation to keep making our models more dynamic, adaptive, robust, and ultimately, smarter. In this role, you will: 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 The Ideal Candidate is: Customer first.
You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.
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 a Bachelor's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining Ph D, with an expectation that required degree will be obtained on or before the scheduled start date At least 1 year of experience in open source programming languages for large scale data analysis At least 1 year of experience with machine learning At least 1 year of experience with relational databases Preferred Qualifications: Master's Degree in " STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or Ph D in " STEM" field (Science, Technology, Engineering, or Mathematics)At least 1 year of experience working with AWSAt least 3 years' experience in Python, Scala, or RAt least 3 years' experience with machine learning At least 3 years' experience with SQLCapital 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. New York City (Hybrid On-Site): $161,900 - $184,800 for Data Science Ph DCandidates 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to interaction (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, interactionual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 -xyz X or via email at xyz X@.
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 xyz X@ 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). PDN-9abf9a16-5f34-450d-899a-0999c979d100
of a book of large, complex, primary casualty Real Estate & Hospitality accounts. Be responsible for growth and retention of assigned book. Negotiate the annual pricing, terms and conditions on renewal business. Work on new business opportunities with key brokerage houses in regions around the country, design and propose appropriate program structures and pricing for said opportunities.
Maintain and develop relationships with their brokers and clients. Develop a pipeline with our major trading partners, as well as engaging other business units for cross-selling opportunities across the industry practice. Maintain service standards by timely response to broker request and timely submission of quotations, binders, policies and endorsements. Responsibility for file maintenance of handled client accounts. Requisition #: 8046ahf9io63
to detail and strong computer skills. Medical background with Orthopedic, Orthotic, and Prosthetic practice experience desired. Being bilingual is a plus but not necessary. Medical benefits are offered as well as paid vacation time. Responsibilities include but are not limited to: Manage office workflow, authorizations, clinician schedule, and other branch-related operations.
Provide the highest level of customer service to patients, fellow employees, and referral sources. Assist in answering phones, greeting patients, data entry, and patient intake. Obtain accurate insurance information, verification, and pre-authorization via internet status checks and phone calls. Process claim billing
daily ensuring that claims are accurate, timely, and fully documented. Provide counseling to patients advising them of their financial responsibility and obtain credit agreements for outstanding balances.
Maintain accurate and complete patient files. Provide status updates to patients and the internal team. Coordinate scheduling of practitioners. Review clinician documentation to ensure that patients? charts are complete. Perform other duties or special projects as assigned. Skills/Requirements: Understanding of medical reimbursement and terminology and a complete understanding of general office duties. Strong interpersonal, oral (including telephone), and written communication skills.
Proficient computer skills including Windows-based office technologies and automated billing systems.
Ability to use all necessary office equipment, facsimile machines, calculator, postage machine, copiers, scanner. Knowledge of state, federal, and regional collection and reimbursement laws where applicable. Excellent organizational skills and the ability to manage multiple tasks. Experience with patient financial counseling. Ability to work effectively as a team member. Speaks Spanish, is a must. Job Type: Full-time. Experience: Medical Background: 2 years. (Preferred). About Eschen/NEOPS: Here at Eschen/NEOPS, our mission is to help every patient live a life of full functionality and comfort.
We treat our patients as if they were our own family and do everything in our power to fully support them in reaching their goals. Eschen Prosthetic and Orthotic Laboratories (Eschen)/New England Orthotics and Prosthetics (NEOPS) is comprised of the best orthotists and prosthetists in the country who are recognized across the nation as first class clinicians. This is why, unlike other providers, we are able to provide specialized services for a wide range of conditions.
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. Position Summary New York Life is seeking a skilled, experienced, outcomes-oriented Senior Data Quality Engineer to develop and implement activities that apply data quality management principles, methods , and technologies to ensure data are fit to serve specific operational and analytical business needs, with a focus on supporting Gen AI use cases.
Responsibilities include providing expert-level application of data quality management capabilities including profiling, defining data/information goals aligned
with business priorities, implementation, and automation of operational data quality measures/KPI's and dashboards, and data defect identification, prioritization, and remediation.
The major focus is to monitor and measure quality of unstructured data, multimodal data (images, audio, video, etc. ) and metadata supporting emerging Gen AI investments and use cases. The role also requires an ongoing monitoring and backssment of the quality including bias of Gen AI use case outcomes. The role requires an backssment of levels of data/information quality in the context of business needs, reporting on business impacts, finding root causes of data quality deficiencies, and making recommendations
on both tactical and strategic changes to prevent future negative impacts and enable positive business outcomes Success in the role will be measured by the degree to which foundational and emerging data quality management capabilities are employed to support the objectives of New York Life business priorities with an emphasis on emerging Gen AI use cases.
Key Accountabilities: Perform as a member of a team in the Chief Data Officer organization, with a concentration on the implementation of Gen AI use cases involving both structured data and unstructured information and metadata Fully understand and influence the definition and desired outcomes of emerging Gen AI use cases Identify sources of data/information to enable emerging use cases for Gen AI, and define and execute methods to evaluate and report on quality of data/information and metadata Provide expert-level application of data quality management capabilities including profiling, defining data/information goals aligned with business priorities, implementation, and automation of operational data quality measures/KPI's and dashboards, and data defect identification, prioritization, and remediation backss levels of data/information quality with a focus on unstructured, multi-modal and metadata Monitor and backss of the quality, including bias, of Gen AI use case responses, and make recommendations to improve outcomes Develop and nurture effective relationships and a partnership with leaders and staff in business, technology, data strategy, data governance, data architecture, data science, ML engineering, data engineering and technology platforms ownership roles Assist in the development, maintenance, and promotion of data governance deliverables/assets, including data policies, data standards and data management roles and decision frameworks Assist in the development of Communities of Practice - virtual organizations that meet regularly to share ideas, best practices, and promote a culture where data are managed as an asset of the company Assist in the evaluation and reporting of emerging industry trends and technologies relevant to data management Skills and Experience required: 5+ years proven experience in AI/ML or a similar role, and understanding of advanced analytics, data science and [Gen] Artificial Intelligence (AI) A good understanding and passion for the role of data governance in enabling data as an asset Expert level proficiency and demonstrated ability with data management methodologies and technologies with an emphasis on data quality profiling, data quality rules coding, data catalogs, metadata management, and master/reference data management Demonstrated skills and experiences in a Data/Dev Ops role, implementing automation of data quality capabilities including data quality measures, exception handling and testing within defined and evolving data pipelines Demonstrated understanding and experience working in a Scaled Agile environment Strong proficiency to backss and understand business requirements, solve problems, and model current and future state business processes and data domains/entities Ability to perform basic project management functions such as project plan development and resource / time estimation of tasks Demonstrated ability to collaborate, communicate, build relationships, mentor and influence a community of data and technical professionals across lines of business and functional areas Strong written, verbal and communication skills with the demonstrated ability to work with all levels within the organization Ability to tell a story through presentations, to motivate and influence adoption of new ideas and capabilities Strong understanding of IT methodologies, functions and services Ability to work in a fast-paced environment and manage multiple simultaneous priorities Demonstrated ability to think end-to-end, connect moving parts, and anticipate and manage change impacts Ability to define and leverage metrics to drive performance and outcomes Working knowledge of MS Word, Excel, and Power Point Experience with BI/visualization tools like Tableau is desirable Awareness of relevant and emerging financial services / insurance data standards is desirable Education Bachelor's degree in Computer Science, Data Science, AI, or a related field.
Master's degree preferred Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life. " To learn more, please visit Linked In , our Newsroom and the Careers page of . Job Requisition ID: 89181 Nearest Major Market: Manhattan Nearest Secondary Market: New York City Job Segment: Quality Engineer, Database, Senior Quality Engineer, Data Management, Executive, Engineering, Technology, Data, Management Requisition #: 104789xyz X6ahf9io63
Top Insurance Employer by Insurance Business America. Position Summary: The RSGUM Underwriter is focused on developing and maintaining a profitable book of business by building relationships with internal and external stakeholders. This role requires an eye on high quality submissions, discussions regarding pricing with the agent and guidance to other coverages appropriate for the insured.
Submissions are analyzed in accordance with guidelines set forth within authority granted from appointed E&S, admitted and non-admitted carriers. RSGUM Underwriters work closely with other Underwriting colleagues (junior and senior) as well as Underwriting Assistants in the prioritization and processing
of the quotes including risk evaluation, pricing and terms and conditions. The primary roles of the Underwriter include (1) external selling and negotiating, problem solving and relationship management and (2) the effective use of company and carrier specific technology to control E&O exposure and ensure the timely and accurate disposition of policies and endorsements within contractually bound timeframes.
RSGUM Underwriters is also accountable for achieving premium budget forecasts, profit and loss, and business development in the assigned territory. Essential Functions: Holds the appropriate licenses for all marketing jurisdictions. Communication of risk appetite and the RSGUM Value
proposition to the agent. Develop strong, long term relationships with the agents to add to a profitable book of business.
Manage internal and external relationships that will contribute to a superior service experience for the agent and broker customer. Senior level underwriters will provide guidance and direction to junior staff including underwriters and underwriting assistants as needed. Quickly evaluate, prioritize, and select submissions and price risks that will develop an underwriting profit for the carrier; refer or decline risks that present excessive risk. Liaise with resources for individual risk backssment, including financial and COPE data. Collaborate with internal team on targeted, desirable accounts.
Recognize and create cross sell opportunities for other products. Work with agents to understand options that best meet insured needs. Negotiate terms and conditions with the agent or broker. Participate in RSGUM underwriting projects as needed. Other relevant duties as assigned Education/Experience/Skills: Minimum of five (5) years underwriting E&S products preferred. Bachelors preferred. Strong analytical and negotiating skills. Ability to work in a fast-paced environment Ability to travel to agent and broker, carrier, and employer meetings.
Ability to work in a highly automated, paperless environment, including specialized software packages. Basic computer skills including MS Office Suite. Disclaimer Ryan Specialty is an Equal Opportunity Employer How We Support Our Teammates Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional wellbeing goals. In addition to our comprehensive benefits package, we encourage a diverse workforce that allows you to manage your wellbeing and work/life balance.
We understand that you have a life outside of work. That's why we offer paid time off for vacation, sick and personal days. In addition, we offer paid parental leave and paid company holidays. Ryan Specialty values a diverse workplace where all colleagues feel empowered to be their authentic selves, and we are proud to be an equal-opportunity workplace. Ryan Specialty provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, interaction, interactionual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.
Ryan Specialty is committed to a diverse workforce and is an affirmative-action employer. The target salary range for this position is $90,000-$100,000 base salary per year. The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The base pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website benefits.
/. We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at xyz X@ The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
