Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a data scientist within a multidisciplinary actuarial/data science team responsible for designing and delivering powerful analytical insights utilizing statistical modeling, machine learning, and data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. We seek candidates with a strong foundation in statistical modeling and/or machine learning who have a drive for finding novel and efficient solutions to maximize business value. As a data scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve loss modeling solutions. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise. Responsibilities: <ul> <li>Create statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions </li></ul> <ul><li>Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques </li><li>Use R and/or Python to build, maintain, and support loss models across different lines of business </li><li>Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations and effectively translate results to business initiatives </li><li>Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources </li><li>Participate in the creation and deployment of long-term tools to continually evolve the business </li><li>Contribute to the successful implementation of strategies to achieve targeted business objectives </li><li>Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function </li></ul>Qualifications: <ul> <li>5+ years of relevant experience recommended </li><li>Preference for at least one of: <ul><li>Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field </li><li>Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA) </li></ul> </li><li>Experience in statistical modeling, inference, and building machine learning algorithms in Python and/or R </li><li>Experience in SQL and navigating databases to extract relevant attributes </li><li>Experience in Unix, Git, Shiny and R Markdown is a plus </li><li>Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation </li><li>Able to communicate effectively with both technical and non-technical audiences </li><li>High level of independence, but is also a team player that demonstrates a high level of ownership </li><li>Results driven with commitment to meeting deadlines </li></ul> Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $106,960 - $160,440 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a data scientist within a multidisciplinary actuarial/data science team responsible for designing and delivering powerful analytical insights utilizing statistical modeling, machine learning, and data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. We seek candidates with a strong foundation in statistical modeling and/or machine learning who have a drive for finding novel and efficient solutions to maximize business value. As a data scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve loss modeling solutions. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise. Responsibilities: <ul> <li>Create statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions </li></ul> <ul><li>Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques </li><li>Use R and/or Python to build, maintain, and support loss models across different lines of business </li><li>Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations and effectively translate results to business initiatives </li><li>Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources </li><li>Participate in the creation and deployment of long-term tools to continually evolve the business </li><li>Contribute to the successful implementation of strategies to achieve targeted business objectives </li><li>Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function </li></ul>Qualifications: <ul> <li>5+ years of relevant experience recommended </li><li>Preference for at least one of: <ul><li>Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field </li><li>Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA) </li></ul> </li><li>Experience in statistical modeling, inference, and building machine learning algorithms in Python and/or R </li><li>Experience in SQL and navigating databases to extract relevant attributes </li><li>Experience in Unix, Git, Shiny and R Markdown is a plus </li><li>Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation </li><li>Able to communicate effectively with both technical and non-technical audiences </li><li>High level of independence, but is also a team player that demonstrates a high level of ownership </li><li>Results driven with commitment to meeting deadlines </li></ul> Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $87,120 - $130,680 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a Sr. Data Scientist within Personal Lines to develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Sales & Underwriting Analytics As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery. Must be eligible to work in the US without company sponsorship This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT, Chicago, IL, Columbus, OH, Charlotte, NC) 3 days a week (Tuesday through Thursday). Responsibilities: <ul><li>Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey </li><li>Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset </li><li>Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Performance Analysts </li><li>Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage </li><li>Contribute to successful implementation of strategies to achieve targeted business objectives </li><li>Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise </li><li>Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function </li><li>Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions </li><li>Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows </li> </ul>Qualifications: <ul><li>5+ years of relevant experience recommended </li><li>Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation </li><li>Proficiency in statistical modeling, inference, and building machine learning algorithms in Python </li><li>Proficiency in SQL and navigating databases to extract relevant attributes </li><li>Proficiency in Unix and Git </li><li>Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation </li><li>Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus </li><li>Able to communicate effectively with both technical and non-technical teams </li><li>Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution </li><li>Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques </li> </ul>Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $106,960 - $160,440 #J-18808-Ljbffr

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford seeks a Sr. Data Scientist within Personal Lines to develop machine learning and artificial intelligence solutions across a range of strategic initiatives.
Sales & Underwriting Analytics
As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.
Must be eligible to work in the US without company sponsorship
This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT, Chicago, IL, Columbus, OH, Charlotte, NC) 3 days a week (Tuesday through Thursday).
Responsibilities:
Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey
Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset
Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Performance Analysts
Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
Contribute to successful implementation of strategies to achieve targeted business objectives
Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows
Qualifications:
5+ years of relevant experience recommended
Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation
Proficiency in statistical modeling, inference, and building machine learning algorithms in Python
Proficiency in SQL and navigating databases to extract relevant attributes
Proficiency in Unix and Git
Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus
Able to communicate effectively with both technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$106,960 - $160,440

#J-18808-Ljbffr

Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey. Collaborate and partner with business stakeholder Data Scientist, Data Engineer, Data Science, Scientist, Business, Technology

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a Sr. Data Scientist within Personal Lines to develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Sales & Underwriting Analytics As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery. Must be eligible to work in the US without company sponsorship This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT, Chicago, IL, Columbus, OH, Charlotte, NC) 3 days a week (Tuesday through Thursday). Responsibilities: Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey
Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset
Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Performance Analysts
Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
Contribute to successful implementation of strategies to achieve targeted business objectives
Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows
Qualifications: 5+ years of relevant experience recommended
Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation
Proficiency in statistical modeling, inference, and building machine learning algorithms in Python
Proficiency in SQL and navigating databases to extract relevant attributes
Proficiency in Unix and Git
Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus
Able to communicate effectively with both technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $106,960 - $160,440 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a Sr. Data Scientist within Personal Lines to develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Sales & Underwriting Analytics As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery. Must be eligible to work in the US without company sponsorship This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT, Chicago, IL, Columbus, OH, Charlotte, NC) 3 days a week (Tuesday through Thursday). Responsibilities: <ul><li>Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey</li><li>Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset</li><li>Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Performance Analysts</li><li>Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage</li><li>Contribute to successful implementation of strategies to achieve targeted business objectives</li><li>Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise</li><li>Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function</li><li>Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions</li><li>Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows </li></ul> Qualifications: <ul><li>5+ years of relevant experience recommended</li><li>Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation</li><li>Proficiency in statistical modeling, inference, and building machine learning algorithms in Python</li><li>Proficiency in SQL and navigating databases to extract relevant attributes</li><li>Proficiency in Unix and Git</li><li>Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation</li><li>Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus</li><li>Able to communicate effectively with both technical and non-technical teams</li><li>Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution</li><li>Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques</li><li>Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</li></ul> Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $106,960 - $160,440 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey. Collaborate and partner with business stakeholder Data Scientist, Data Engineer, Data Science, Scientist, Business, Technology

Sr Data Scientist - GD07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford seeks a Sr. Data Scientist within Personal Lines to develop machine learning and artificial intelligence solutions across a range of strategic initiatives.

Sales & Underwriting Analytics

As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.

Must be eligible to work in the US without company sponsorship

This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT, Chicago, IL, Columbus, OH, Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey

Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset

Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Performance Analysts

Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage

Contribute to successful implementation of strategies to achieve targeted business objectives

Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise

Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function

Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions

Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows

Qualifications:

5+ years of relevant experience recommended

Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation

Proficiency in statistical modeling, inference, and building machine learning algorithms in Python

Proficiency in SQL and navigating databases to extract relevant attributes

Proficiency in Unix and Git

Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation

Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus

Able to communicate effectively with both technical and non-technical teams

Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution

Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$106,960 - $160,440

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us (https://www.thehartford.com/about-us) | Culture & Employee Insights (https://www.thehartford.com/careers/employee-stories) | Diversity, Equity and Inclusion (https://www.thehartford.com/about-us/corporate-diversity) | Benefits (https://www.thehartford.com/careers/benefits)

Human achievement is at the heart of what we do.

We believe that with the right encouragement and support, people are capable of achieving amazing things.

We put our belief into action by ensuring individuals and businesses are well protected, and by going even further – making an impact in ways that go beyond an insurance policy.

Nearly 19,000 employees use their unique talents in careers that span a variety of disciplines – from developing the latest technology to creating and promoting our products to evaluating future financial risks.

We’re also committed to programs that drive education and support volunteerism, which put human beings first. We do it because it’s the right thing to do, and because when our customers, communities and employees succeed, we all do.

About Us (https://www.thehartford.com/about-us)

Culture & Employee Insights (https://www.thehartford.com/careers/employee-stories)

Diversity, Equity and Inclusion (https://www.thehartford.com/about-us/corporate-diversity)

Benefits (https://www.thehartford.com/careers/benefits)

Legal Notice (https://www.thehartford.com/legal-notice)

Accessibility StatementProducer Compensation (https://www.thehartford.com/producer-compensation)

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