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Associate Credit Jobs in Virginia (NOW HIRING)

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Associate Credit information

What are the key skills and qualifications needed to thrive as an associate credit?

To thrive as an Associate Credit professional, you need strong analytical skills, attention to detail, and a solid understanding of financial principles, typically backed by a degree in finance, accounting, or a related field. Proficiency with credit analysis tools, financial modeling software, and CRM systems is often required. Excellent communication, problem-solving abilities, and teamwork are essential soft skills for effectively collaborating with clients and internal teams. These competencies ensure accurate credit assessments, risk management, and the building of strong client relationships, all of which are critical for organizational success.

What are some common challenges faced by an associate credit, and how can they be overcome?

Associate Credit professionals often encounter challenges such as analyzing complex financial data, balancing multiple client accounts, and meeting tight deadlines for credit assessments. Effective time management and strong analytical skills are crucial to handle these tasks efficiently. Collaboration with senior credit analysts and other departments, such as sales or risk management, can provide valuable insights and support. Continuous learning about industry regulations and credit risk models also helps in staying updated and improving performance.

What is an associate credit?

Associate Credit professionals are entry- to mid-level employees who work in financial institutions or corporate finance teams, focusing on assessing the creditworthiness of individuals or companies. Their responsibilities often include analyzing financial statements, preparing credit reports, assisting in loan underwriting, and monitoring existing credit portfolios. They play a crucial role in ensuring that lending decisions are based on sound financial analysis and risk assessment. Associate Credit professionals typically work under the supervision of senior credit analysts or managers and may interact with clients to gather necessary financial information.

What is the difference between Associate Credit vs Credit Analyst?

AspectAssociate CreditCredit Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; some roles may require certifications like CFA or CPABachelor's degree in finance, accounting, or related field; certifications like CFA are common but not mandatory
Work EnvironmentTypically in banking or financial institutions, working in teams to assess creditworthinessOften in banks, credit bureaus, or financial firms, analyzing data and preparing reports
Employer & Industry UsageUsed by banks, lending companies, and financial institutions for credit assessmentUsed by banks, credit agencies, and financial firms for evaluating credit risk

Both Associate Credit and Credit Analyst roles involve assessing creditworthiness, requiring similar educational backgrounds and working in financial environments. The main difference lies in job scope: Associate Credit often supports credit decision processes, while Credit Analysts perform detailed credit risk analysis and reporting.

What is a credit associate?

A credit associate or analyst determines whether or not clients are good candidates for credit cards, loans, or financing options. Credit associate jobs are found in the banking industry and other corporate settings that provide financial services, like vehicle dealerships. Job duties include gathering data about potential clients, analyzing their financial information, and making a recommendation about their credit risk. The qualifications for this career are a bachelor’s degree in accounting or finance, experience in the financial industry, and quantitative analysis skills.

More about Associate Credit jobs
What are the most commonly searched types of Credit jobs in Virginia? The most popular types of Credit jobs in Virginia are:
What cities in Virginia are hiring for Associate Credit jobs? Cities in Virginia with the most Associate Credit job openings:
Associate Credit jobs near you

Senior Associate, Data Scientist - Credit Line Increase Program

Capital One

Mclean, VA • On-site

$59K - $60K/yr

Full-time

Re-posted 9 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

91st of 171 rated banks

Job description

Senior Associate, Data Scientist - Credit Line Increase Program

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, 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 Upmarket CLIP seeks to provide an optimal credit line to our high-value customers to ensure they receive a line they need and love through different strategies such as Proactive, Reactive and Interactive. The Upmarket CLIP valuations team builds industry-leading machine learning models to empower model- and data-driven business decisions. In this team, data scientists and business analysts work together on the full model lifecycle including development, deployment, monitoring and governance. We partner closely with the business teams as well as data scientist and engineer partner teams. This is a unique opportunity to get exposure to both end-to-end model lifecycle and business decisioning process.

Role Description

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:

  • 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 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 2 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

Preferred Qualifications:

  • Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)

  • Experience working with AWS

  • At least 2 years' experience in Python, Scala, or R

  • At least 2 years' experience with machine learning

  • At least 2 years' experience with SQL

Capital 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.

McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science











Candidates 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 theCapital 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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).

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