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Senior Manager, Data Science - AI Foundations 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 AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * 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. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. 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 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 Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 5 years’ experience in Python, Scala, or R * At least 5 years’ experience with machine learning * At least 5 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: $225,400 - $257,200 for Sr Mgr, Data Science New York, NY: $245,900 - $280,600 for Sr Mgr, Data Science San Jose, CA: $245,900 - $280,600 for Sr Mgr, 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 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 (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 ___. 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).

Principal Associate, Data Scientist - NLP 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 AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * 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. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. 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 5 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 3 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) Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Specialized experience in the fields of Information Retrieval, Recommender Systems, and Reinforcement Learning * Specialized experience in GenAI application development * At least 3 years of experience in PyTorch/Tensorflow * At least 3 years of experience with machine learning * At least 1 year of experience working with AWS 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. Sales Territory: $147,100 - $167,900 for Princ Associate, Data Science McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science New York, NY: $176,500 - $201,400 for Princ Associate, 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 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 (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 ___. 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).

Senior Data Scientist, AI Foundations 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 AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * 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. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. 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. New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science San Jose, CA: $148,000 - $168,900 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 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 (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 ___. 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).

Principal Data Scientist, AI Foundations 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 AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * 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. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. 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 5 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 3 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) 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 3 years’ experience in Python, Scala, or R * At least 3 years’ experience with machine learning * At least 3 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: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, 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 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 (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 ___. 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).

Manager, Data Science - AI Foundations 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 AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * 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. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. 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 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 Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 4 years’ experience in Python, Scala, or R * At least 4 years’ experience with machine learning * At least 4 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: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data Science San Jose, CA: $211,000 - $240,800 for Mgr, 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 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 (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 ___. 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).

Cynet Health is seeking an experienced Home Health Registered Nurse for an exciting Travel Nursing job in Brooklyn, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Endoscopy Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Wound Care Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 5x8 hr days Start Date: 05/11/2026 Duration: 13 weeks Pay: $2653.03 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Transplant Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr days Start Date: 06/01/2026 Duration: 13 weeks Pay: $2730.93 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Pediatric Cardiovascular Intensive Care Unit Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Home Health Registered Nurse for an exciting Travel Nursing job in Bronx, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Rehabilitation Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Postpartum Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Interventional Radiology Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Endoscopy Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Long Term Care Registered Nurse for an exciting Travel Nursing job in Brooklyn, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Interventional Radiology Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Electrophysiology Registered Nurse for an exciting Travel Nursing job in Paramus, NJ. Shift: 4x10 hr days Start Date: 05/04/2026 Duration: 13 weeks Pay: $3234 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Post Anesthesia Care Unit Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Post Anesthesia Care Unit Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr nights Start Date: 05/04/2026 Duration: 2 weeks Pay: $2529.5 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Post Anesthesia Care Unit Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr nights Start Date: 05/04/2026 Duration: 2 weeks Pay: $2529.5 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Progressive Care Unit Registered Nurse for an exciting Travel Nursing job in Brooklyn, NY. Shift: 5x8 hr days Start Date: 05/04/2026 Duration: 13 weeks Pay: $3041.49 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Interventional Radiology Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: Inquire Start Date: 04/27/2026 Duration: 13 weeks Pay: $2917.94 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Interventional Radiology Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: Inquire Start Date: 04/27/2026 Duration: 13 weeks Pay: $2917.94 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Post Anesthesia Care Unit Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Home Health Registered Nurse for an exciting Travel Nursing job in Brooklyn, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Home Health Registered Nurse for an exciting Travel Nursing job in Bronx, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Wound Care Registered Nurse for an exciting Travel Nursing job in Brooklyn, NY. Shift: 5x8 hr days Start Date: 05/04/2026 Duration: 14 weeks Pay: $2860.91 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Home Health Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Labor and Delivery Registered Nurse for an exciting Travel Nursing job in Bronx, NY. Shift: 3x12 hr days Start Date: 05/04/2026 Duration: 14 weeks Pay: $2639.66 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Pediatrics Registered Nurse for an exciting Travel Nursing job in Bronx, NY. Shift: 3x12 hr days Start Date: 05/04/2026 Duration: 14 weeks Pay: $2716.66 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Operating Room Registered Nurse for an exciting Travel Nursing job in Roslyn, NY. Shift: 3x12 hr days Start Date: 04/20/2026 Duration: 13 weeks Pay: $2698.75 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Transplant Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr days Start Date: 06/01/2026 Duration: 13 weeks Pay: $2730.93 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Cardiovascular Intensive Care Unit Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr nights Start Date: 05/03/2026 Duration: 14 weeks Pay: $2958.9 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Wound Care Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 5x8 hr days Start Date: 05/04/2026 Duration: 14 weeks Pay: $3134.66 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Rehabilitation Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr nights Start Date: 06/08/2026 Duration: 14 weeks Pay: $1997.96 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Cardiovascular Intensive Care Unit Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr nights Start Date: 05/03/2026 Duration: 14 weeks Pay: $2958.9 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Wound Care Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Pediatric Cardiovascular Intensive Care Unit Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Postpartum Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr days Start Date: 05/04/2026 Duration: 5 weeks Pay: $2446.5 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Home Health Registered Nurse for an exciting Travel Nursing job in New York, NY. Chat live with one of our recruiters 24x7 on our website @ .

Cynet Health is seeking an experienced Postpartum Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr days Start Date: 05/04/2026 Duration: 5 weeks Pay: $2446.5 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Oncology Registered Nurse for an exciting Travel Nursing job in Brooklyn, NY. Shift: 5x8 hr days Start Date: 05/04/2026 Duration: 14 weeks Pay: $2993.91 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Labor and Delivery Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr days Start Date: 05/31/2026 Duration: 6 weeks Pay: $2971.55 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

Cynet Health is seeking an experienced Interventional Radiology Registered Nurse for an exciting Travel Nursing job in New York, NY. Shift: 3x12 hr days Start Date: 05/18/2026 Duration: 13 weeks Pay: $3099.92 / Week About Cynet Health: Ranked #5 Best Travel Nursing Companies 2022 by BluePipes. We offer the most competitive pay for every position we fill. We understand this is a partnership. You will have no surprises. Your salary will be discussed upfront and there will be no troubling negotiation tactics. Chat live with one of our recruiters 24x7 on our website @ or schedule a call

At OneMain, Loan Sales Specialists empower customers by listening to their needs and providing access to friendly, fast, and affordable financing for life’s expenses. In this role, our team members thrive in a competitive atmosphere where hard work and dedication directly influence success. This role provides rewarding professional development and advancement opportunities in a dynamic and supportive environment. Loan Sales Specialists enjoy competitive compensation that recognizes both individual achievements and team success, all while growing their career. In the Role • Effectively multitask and adapt to the dynamic demands of the role, ensuring timely and efficient service, • Exceed customer expectations through ease, empathy and encouragement, delivering results related to individual and branch goals, • Develop new connections and maintain ones by engaging customers throughout the loan process and life cycle, presenting tailored solutions based on customer needs, • Manage the life cycle of loans, including collections activities while maintaining compliance with all relevant laws and regulations, • Engage with customers and other departments through multiple technological channels, including phone, email, chat and our in-house systems, • Exhibit passion for achievement, bringing an internal drive to succeed and goal oriented attitude, • Clearly educate and inform customers on optional insurance products, ensuring customers have a thorough understanding of the loans, terms and their options Requirements:, • High School Diploma or GED Preferred:, • Sales, Collections or Customer Service experience, • Bilingual - Spanish Location: On site The schedule for this position is Monday-Friday during standard business hours, with some extended hours during the week as needed which may include Saturday. Who we Are A career with OneMain offers you the potential to earn an annual salary plus incentives. You can steer your career toward leadership roles such as Branch Manager and District Manager by taking advantage of a variety of robust training programs and opportunities to advance. Other team member benefits include:, • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances, • Up to 4% matching 401(k), • Employee Stock Purchase Plan (10% share discount), • Tuition reimbursement, • Paid time off (15 days’ vacation per year, prorated based on start date), • Paid sick leave as determined by state or local ordinance (prorated based on start date), • 11 Paid holidays (4 floating holidays, prorated based on start date), • Paid volunteer time (3 days per year, prorated based on start date) PAY: Target base salary range is $19.00-$23.00, which is based on various factors including skills and work experience. In addition to base salary, this role is eligible for a competitive additional compensation program that is based on individual and company performance. OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. In our more than 1,300 community branches and across the U.S., team members help millions of customers solve critical financial needs, including debt consolidation, home and auto repairs, medical procedures and extending household budgets. We meet customers where they want to be -- in person, by phone and online. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Key Word Tags Sales, Collections, Retail, Loan Sales, Customer Service, Customer Care, Business Development, New Grad, Newly Graduated, Entry level, Financial Sales, Management Development, Management Trainee, Finance, Full-time, Career, Benefits, Customer experience, Financial Representative, Credit, Leadership, Manager Trainee

At OneMain, Loan Sales Specialists empower customers by listening to their needs and providing access to friendly, fast, and affordable financing for life’s expenses. In this role, our team members thrive in a competitive atmosphere where hard work and dedication directly influence success. This role provides rewarding professional development and advancement opportunities in a dynamic and supportive environment. Loan Sales Specialists enjoy competitive compensation that recognizes both individual achievements and team success, all while growing their career. In the Role • Effectively multitask and adapt to the dynamic demands of the role, ensuring timely and efficient service, • Exceed customer expectations through ease, empathy and encouragement, delivering results related to individual and branch goals, • Develop new connections and maintain ones by engaging customers throughout the loan process and life cycle, presenting tailored solutions based on customer needs, • Manage the life cycle of loans, including collections activities while maintaining compliance with all relevant laws and regulations, • Engage with customers and other departments through multiple technological channels, including phone, email, chat and our in-house systems, • Exhibit passion for achievement, bringing an internal drive to succeed and goal oriented attitude, • Clearly educate and inform customers on optional insurance products, ensuring customers have a thorough understanding of the loans, terms and their options Requirements:, • High School Diploma or GED Preferred:, • Sales, Collections or Customer Service experience, • Bilingual - Spanish Location: On site The schedule for this position is Monday-Friday during standard business hours, with some extended hours during the week as needed which may include Saturday. Who we Are A career with OneMain offers you the potential to earn an annual salary plus incentives. You can steer your career toward leadership roles such as Branch Manager and District Manager by taking advantage of a variety of robust training programs and opportunities to advance. Other team member benefits include:, • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances, • Up to 4% matching 401(k), • Employee Stock Purchase Plan (10% share discount), • Tuition reimbursement, • Paid time off (15 days’ vacation per year, prorated based on start date), • Paid sick leave as determined by state or local ordinance (prorated based on start date), • 11 Paid holidays (4 floating holidays, prorated based on start date), • Paid volunteer time (3 days per year, prorated based on start date) PAY: Target base salary range is $19.00-$23.00, which is based on various factors including skills and work experience. In addition to base salary, this role is eligible for a competitive additional compensation program that is based on individual and company performance. OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. In our more than 1,300 community branches and across the U.S., team members help millions of customers solve critical financial needs, including debt consolidation, home and auto repairs, medical procedures and extending household budgets. We meet customers where they want to be -- in person, by phone and online. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Key Word Tags Sales, Collections, Retail, Loan Sales, Customer Service, Customer Care, Business Development, New Grad, Newly Graduated, Entry level, Financial Sales, Management Development, Management Trainee, Finance, Full-time, Career, Benefits, Customer experience, Financial Representative, Credit, Leadership, Manager Trainee

At OneMain, Loan Sales Specialists empower customers by listening to their needs and providing access to friendly, fast, and affordable financing for life’s expenses. In this role, our team members thrive in a competitive atmosphere where hard work and dedication directly influence success. This role provides rewarding professional development and advancement opportunities in a dynamic and supportive environment. Loan Sales Specialists enjoy competitive compensation that recognizes both individual achievements and team success, all while growing their career. In the Role • Effectively multitask and adapt to the dynamic demands of the role, ensuring timely and efficient service, • Exceed customer expectations through ease, empathy and encouragement, delivering results related to individual and branch goals, • Develop new connections and maintain ones by engaging customers throughout the loan process and life cycle, presenting tailored solutions based on customer needs, • Manage the life cycle of loans, including collections activities while maintaining compliance with all relevant laws and regulations, • Engage with customers and other departments through multiple technological channels, including phone, email, chat and our in-house systems, • Exhibit passion for achievement, bringing an internal drive to succeed and goal oriented attitude, • Clearly educate and inform customers on optional insurance products, ensuring customers have a thorough understanding of the loans, terms and their options Requirements:, • High School Diploma or GED Preferred:, • Sales, Collections or Customer Service experience, • Bilingual - Spanish Location: On site The schedule for this position is Monday-Friday during standard business hours, with some extended hours during the week as needed which may include Saturday. Who we Are A career with OneMain offers you the potential to earn an annual salary plus incentives. You can steer your career toward leadership roles such as Branch Manager and District Manager by taking advantage of a variety of robust training programs and opportunities to advance. Other team member benefits include:, • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances, • Up to 4% matching 401(k), • Employee Stock Purchase Plan (10% share discount), • Tuition reimbursement, • Paid time off (15 days’ vacation per year, prorated based on start date), • Paid sick leave as determined by state or local ordinance (prorated based on start date), • 11 Paid holidays (4 floating holidays, prorated based on start date), • Paid volunteer time (3 days per year, prorated based on start date) PAY: Target base salary range is $19.00-$23.00, which is based on various factors including skills and work experience. In addition to base salary, this role is eligible for a competitive additional compensation program that is based on individual and company performance. OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. In our more than 1,300 community branches and across the U.S., team members help millions of customers solve critical financial needs, including debt consolidation, home and auto repairs, medical procedures and extending household budgets. We meet customers where they want to be -- in person, by phone and online. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Key Word Tags Sales, Collections, Retail, Loan Sales, Customer Service, Customer Care, Business Development, New Grad, Newly Graduated, Entry level, Financial Sales, Management Development, Management Trainee, Finance, Full-time, Career, Benefits, Customer experience, Financial Representative, Credit, Leadership, Manager Trainee