Top Consumer Loan Servicing Executive jobs in Washington, DC

Top Consumer Loan Servicing Executive oversees all consumer loan servicing activities. Ensures efficiency of collections, escrow, and cashiering operations. Being a Top Consumer Loan Servicing Executive provides recommendations for areas of improvement. Requires a bachelor's degree. Additionally, Top Consumer Loan Servicing Executive typically reports to a head of a unit/department. The Top Consumer Loan Servicing Executive manages a departmental sub-function within a broader departmental function. Creates functional strategies and specific objectives for the sub-function and develops budgets/policies/procedures to support the functional infrastructure. To be a Top Consumer Loan Servicing Executive typically requires 5+ years of managerial experience. Deep knowledge of the managed sub-function and solid knowledge of the overall departmental function. (Copyright 2024 Salary.com)

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Manager, Data Scientist - Servicing Intelligence
  • Hispanic Technology Executive Council
  • Mc Lean, VA FULL_TIME
  • Center 1 (19052), United States of America, McLean, VirginiaManager, Data Scientist - Servicing Intelligence

    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, youll be part of a team thats 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 Servicing Intelligence data science team builds deep learning models to help our internal customers use unstructured, multi-modal data sources text, image, and audio data. We partner with product, tech, and business teams to deliver solutions spanning from using generative AI to conduct information extraction on millions of documents to analyzing call transcripts to identify customer pain points. You will be the driving force to experiment, innovate, and create next generation experiences powered by the latest emerging generative AI technologies.

    Role Description:

    In this role, you will:

    • Be an expert in natural language processing (NLP) to harness the power of large language models (LLMs) and large multi-modal models (LMMs)
    • Leverage a broad stack of technologies Pytorch, Hugging Face, LangChain, LLaMA-Factory, GitHub, AWS, and more to automate workflows using huge volumes of text and vision data
    • Collaborate on a team of data scientists to build machine learning models through all phases of development, from design through training, evaluation, validation, implementation, and maintenance
    • Flex your communication skills by interacting with a variety of internal business stakeholders to define innovative data science solutions
    • Exhibit interest in learning underlying business processes, getting into the details by guiding annotators to curate high quality, consistent training datasets

    The Ideal Candidate is:

    • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.
    • 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.
    • Technical. Youre 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. Youve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve.

    Basic Qualifications:

    • Currently has, or is in the process of obtaining a Bachelors Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Masters Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
    • At least 2 years experience in open source programming languages for large scale data analysis
    • At least 2 years experience with machine learning
    • At least 2 years experience with relational databases

    Preferred Qualifications:

    • At least 2 years of experience working with unstructured data for natural language processing, computer vision, or speech applications
    • At least 2 years of experience fine-tuning and deploying transformer based models
    • At least 2 years of experience working with deep learning libraries and tools, such as Pytorch and HuggingFace
    • At least 4 years of experience in Python with a blend of experiences in data science and software engineering
    • At least 4 years of experience with machine learning
    • At least 1 year of experience working with AWS
    • At least 1 year of experience providing technical mentorship to peer data scientists

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

    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. 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 sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual 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 Citys Fair Chance Act; Philadelphias 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 . 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

    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).

     

  • 7 Days Ago

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Loan Servicing Representative I
  • STATE DEPARTMENT FEDERAL CREDIT UNION
  • Alexandria, VA FULL_TIME
  • Looking to advance your Loan Servicing career? Come join our Team at State Department Federal Credit Union (SDFCU)! SDFCU is currently recruiting for a Loan Servicing Representative. The ideal candida...
  • 23 Days Ago

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Loan Servicing Specialist III
  • BCT (Bank of Charles Town)
  • Charles Town, WV FULL_TIME
  • BCT - Bank of Charles Town is looking for a full time Loan Servicing Specialist III to join our amazing team. Position includes performing tasks to book and service Commercial loans, participations, r...
  • Just Posted

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Loan Servicing Representative
  • Bank of Charles Town
  • Charles Town, WV FULL_TIME
  • Full-Time Summary Performs administrative tasks to book and service home equity, mortgage and commercial loans in accordance with established guidelines and procedures. Description Reports To: Loan Se...
  • 10 Days Ago

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Loan Servicing Operations Specialist
  • Presidential Bank
  • Bethesda, MD FULL_TIME
  • Job Summary: The Loan Servicing Operations Specialist position is primarily responsible in maintaining appropriate levels of customer service and operational efficiency while meeting all regulatory re...
  • 1 Month Ago

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Consumer Protection Litigation and Compliance Associate
  • Top Tier Reps LLC
  • Washington, DC FULL_TIME
  • We are seeking an associate with three to six years of litigation experience to join our growing team. Candidates must have demonstrated consumer class action experience. Experience with the Telephone...
  • 2 Days Ago

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0 Top Consumer Loan Servicing Executive jobs found in Washington, DC area

Washington, D.C. is located in the mid-Atlantic region of the U.S. East Coast. Due to the District of Columbia retrocession, the city has a total area of 68.34 square miles (177.0 km2), of which 61.05 square miles (158.1 km2) is land and 7.29 square miles (18.9 km2) (10.67%) is water. The District is bordered by Montgomery County, Maryland to the northwest; Prince George's County, Maryland to the east; Arlington County, Virginia to the south; and Alexandria, Virginia to the west. The south bank of the Potomac River forms the District's border with Virginia and has two major tributaries: the An...
Source: Wikipedia (as of 04/11/2019). Read more from Wikipedia
Income Estimation for Top Consumer Loan Servicing Executive jobs
$176,168 to $342,285
Washington, District of Columbia area prices
were up 1.3% from a year ago