625 Economics Researcher jobs in the United States

BerkleyNet is an innovative workers compensation insurance provider that does all our business online. Our Goal? To make doing business Ridiculously Fast. Amazingly Easy.

As a Quantitative Analyst, you will solve business problems with data. With the combination of savvy business insight and extensive data analysis, you'll draw insights, identify trends, and visualize data to make a powerful impact on our business. In this dynamic role, you'll have the opportunity to bring your analytical skills to every aspect of the organization. The people on the Data Analytics team set each other up for success. We take ownership of our work, seek out challenging and engaging projects, share knowledge, have strong work ethics, and never stop learning.

As a Quantitative Analyst, you will fulfill the primary responsibilities of the role by completing the following:

• Creating operating efficiencies: Seek out opportunities within the business to improve processes using data
• Visualizing data: Illustrate events and trends using graphs and other visualizations
• Quantitative analysis: Bring structure to challenging datasets to provide clear conclusions
• Predictive modeling: Leverage machine learning to capture insight invisible to the human eye
• Automation through code: Program away tedious, repetitive tasks to make the most of the day
• Working with other teams: Meet with other departments to engage in cross-departmental projects
• Presenting findings to company leadership: Communicate the conclusions of analysis to guide strategic decisions

Skills/Experience

• Familiarity with R, Python and/or SQL
• Ability to communicate technical concepts to non-technical audiences
• Cross-functional collaboration
• Ability to convert data to actionable insights
• Comfort working with and organizing large data sets

Education

• Bachelor's degree in Business Analytics, Mathematics, Statistics, Computer Science, Finance, or related degree
• Preferably has programming experience

Travel Requirements

• A low-level of domestic U.S. travel (approximately 5% - 10% of time) is required

Additional Company Details

The Company is an equal employment opportunity employer.

The Company is an equal employment opportunity employer.

We do not accept any unsolicited resumes from external recruiting firms.

The company offers a competitive compensation plan and robust benefits package for full time regular employees.
Base salary & Benefits include Health, dental, vision, life, disability, wellness, paid time off, 401(k) and profit-sharing plans.

The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Sponsorship not Offered for this Role

The Los Angeles Dodgers currently have a job opportunity for a Quantitative Analyst. Following you will find a brief description of the job and application process. For additional information, please contact (email protected). Title: Quantitative Ana Analyst, Quantitative, Forecasting, Technology, Research

We are looking for a Quantitative Analyst to join our Player Personnel Department. Your primary focus will be on Player Personnel related data modeling, but you will be joining a group of engineers and analysts who support both the coaching and scouting staffs. The ideal candidate will have a background in mathematics or statistics with a passion for analyzing sports data.

Key Responsibilities

Work closely with our scouts, engineers, and other analysts to create interpretable predictive models to aid in the player evaluation process.

Write high-quality and maintainable model code that can be incorporated into our production environment.

Stay up to date on the latest data science trends, helping identify opportunities for us to expand our use of evidence-based decision making.

Communicate clearly with non-technical stakeholders across the organization.

Requirements

1+ years of demonstrated experience in predictive modeling.

Demonstrated coding proficiency (R, Python, etc.).

Experience with version control systems (Github).

Familiarity with database technologies/languages is a plus.

Bolt Up!

We are looking for someone who loves sports (especially football) and solving complex problems. If you arent the most knowledgeable football fan, thats okay! We want someone with a passion for the game and the natural curiosity to learn.

We want someone who doesnt take themselves too seriously and is always looking to embrace new challenges. Above all, we want a teammate who will help take our football decision modeling to the next level.

The Los Angeles Chargers are committed to building a diverse, equitable and inclusive work environment that reflects our incredibly diverse fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to ancestry, race, color, religion, sex, gender, gender identity, gender expression, national origin, age, disability, medical condition, marital status, military or veteran status, genetic information, sexual orientation, or other status protected by applicable federal, state, or local law. We believe diversity and inclusion among our employees is critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.Job Questions:

With 10 being true expertise/complete fluency and 1 being a basic familiarity, how would you rank your skills in these computer languages (Python, R). You can add one additional language and rate your expertise on a 1-10 as well, but you do not have to. Example: Python (2) R (7) Other: SQL (9)

2. What lessons have you learned in your modeling experience? How are you smarter now than when you ran your first regression? Keep your answer to less than 300 words.

How would you determine how important having a successful running game is for an offense? Keep your answer to less than 175 words.

The Job/What You'll Do:

The responsibilities of the position are to take a lead analytical role in developing and maintaining quantitative models to help drive investment decisions within the Investment Strategies group at AssetMark. This will include development of implementable investment strategies, risk models and portfolio constructions tools for use in a systematic process that can be used for consistent and scalable investment decisions.

This is a full-time position in our Concord, CA office with a hybrid work schedule.

Responsibilities:

• Research and develop implementable investment strategies to deliver consistent outperformance for tactical, outcome-oriented, and strategic solutions
• Collaborate with the portfolio management team to research and develop multi-asset portfolio construction and optimization models
• Lead the development/selection, deployment, and maintenance of a multi-asset factor risk model for portfolio optimization, risk, and return attribution
• Collaborate with the investment strategies group for designing, developing, and maintaining models, dashboards, reports, and other collateral for investment and risk committees
• Assist with ad-hoc quantitative projects to update and improve the investment decision-making and evaluation process
• The above description covers the most significant duties required. Other work assignments will be assigned as needed and will be in conformity with the general purpose above

Knowledge, Skills, and Abilities:

• Strong working knowledge and experience with programming languages and databases, such as Python, R, Matlab, SQL, and MongoDB
• Strong verbal and written communication skills in order to communicate effectively with peers, and strong interpersonal skills in order to work in a collegial environment
• Attention to detail and thorough working practices with the ability to apply quantitative methods into investment decision-making theory to reach informed and logical decisions
• Initiative and proactive approach, including the ability to recognize when and how to apply criteria guidelines, some of which are defined in very specific terms, and some of which are more general
• Ability to manage multiple priorities to a timely and successful conclusion while adhering to deadlines
• Ability to work independently with minimal support to investigate and resolve issues, perform analysis, and document results
• Flexibility and constructive attitude toward change

Education & Experience:

• Bachelors degree from a fully accredited 4-year college or university, preferably in financial engineering, applied mathematics, statistics, engineering, physics, or other quantitative fields (Master's or PhD qualification a plus)
• 3-5 years of professional experience in quantitative modeling and backtesting experience within financial services preferred (understanding of investments, portfolio construction techniques, and risk management desired)
• Experience with equity risk factor models like Barra, Northfield, or Bloomberg. Experience with multi-asset models is a plus
• Experience with investment management tools like Bloomberg, FactSet, and Morningstar Direct is a plus

Compensation: The Base Salary range for this position is between $175,000-$200,000.

This information reflects a base salary range that AssetMark reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, experience, and actual work location. This position will also be eligible for additional variable incentive compensation and competitive benefits.

Candidates must be legally authorized to work in the US to be considered. We are unable to provide visa sponsorship for this position.

#LI-CR1

#LI-hybrid

Who We Are & What We Offer:

AssetMarks mission is centered around helping financial advisors make a difference in the lives of their clients. To help them do that, we aim to provide advisors with holistic support. We offer compelling technology that facilitates a better client experience, consulting services that ensure advisors businesses are running at their best and a comprehensive suite of investment solutions. AssetMarks platform empowers advisors to provide the highest level of service possible to their clients.

AssetMarks culture is driven by our mission and connected by our values; Heart, Integrity, Excellence and Respect. You will join a team that lives these values every day by doing the best and what is right in all we do and encouraging different ideas for continual success and innovation. Additionally, we offer a wide range of benefits to meet the needs of our team members and their families.

• Flex Time Off or Paid Time/Sick Time Off
• 401K 6% Employer Match
• Medical, Dental, Vision HDHP or PPO
• HSA Employer contribution (HDHP only)
• Volunteer Time Off
• Career Development / Recognition
• Fitness Reimbursement
• Hybrid Work Schedule

As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.

The responsibilities of the position are to take a lead analytical role in developing and maintaining quantitative models to help drive investment decisions within the Investment Strategies group at AssetMark. This will include development of implementable investment strategies, risk models and portfolio constructions tools for use in a systematic process that can be used for consistent and scalable investment decisions.

This is a full-time position in our Concord, CA office with a hybrid work schedule.

Responsibilities:

• Research and develop implementable investment strategies to deliver consistent outperformance for tactical, outcome-oriented, and strategic solutions
• Collaborate with the portfolio management team to research and develop multi-asset portfolio construction and optimization models
• Lead the development/selection, deployment, and maintenance of a multi-asset factor risk model for portfolio optimization, risk, and return attribution
• Collaborate with the investment strategies group for designing, developing, and maintaining models, dashboards, reports, and other collateral for investment and risk committees
• Assist with ad-hoc quantitative projects to update and improve the investment decision-making and evaluation process
• The above description covers the most significant duties required. Other work assignments will be assigned as needed and will be in conformity with the general purpose above

Knowledge, Skills, and Abilities:

• Strong working knowledge and experience with programming languages and databases, such as Python, R, Matlab, SQL, and MongoDB
• Strong verbal and written communication skills in order to communicate effectively with peers, and strong interpersonal skills in order to work in a collegial environment
• Attention to detail and thorough working practices with the ability to apply quantitative methods into investment decision-making theory to reach informed and logical decisions
• Initiative and proactive approach, including the ability to recognize when and how to apply criteria guidelines, some of which are defined in very specific terms, and some of which are more general
• Ability to manage multiple priorities to a timely and successful conclusion while adhering to deadlines
• Ability to work independently with minimal support to investigate and resolve issues, perform analysis, and document results
• Flexibility and constructive attitude toward change

Education & Experience:

• Bachelors degree from a fully accredited 4-year college or university, preferably in financial engineering, applied mathematics, statistics, engineering, physics, or other quantitative fields (Master's or PhD qualification a plus)
• 3-5 years of professional experience in quantitative modeling and backtesting experience within financial services preferred (understanding of investments, portfolio construction techniques, and risk management desired)
• Experience with equity risk factor models like Barra, Northfield, or Bloomberg. Experience with multi-asset models is a plus
• Experience with investment management tools like Bloomberg, FactSet, and Morningstar Direct is a plus

Compensation: The Base Salary range for this position is between $175,000-$200,000.

This information reflects a base salary range that AssetMark reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, experience, and actual work location. This position will also be eligible for additional variable incentive compensation and competitive benefits.

Candidates must be legally authorized to work in the US to be considered. We are unable to provide visa sponsorship for this position.

#LI-CR1

#LI-hybrid

Who We Are & What We Offer:

AssetMarks mission is centered around helping financial advisors make a difference in the lives of their clients. To help them do that, we aim to provide advisors with holistic support. We offer compelling technology that facilitates a better client experience, consulting services that ensure advisors businesses are running at their best and a comprehensive suite of investment solutions. AssetMarks platform empowers advisors to provide the highest level of service possible to their clients.

AssetMarks culture is driven by our mission and connected by our values; Heart, Integrity, Excellence and Respect. You will join a team that lives these values every day by doing the best and what is right in all we do and encouraging different ideas for continual success and innovation. Additionally, we offer a wide range of benefits to meet the needs of our team members and their families.

• Flex Time Off or Paid Time/Sick Time Off
• 401K 6% Employer Match
• Medical, Dental, Vision HDHP or PPO
• HSA Employer contribution (HDHP only)
• Fitness Reimbursement
• Hybrid Work Schedule

As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.

AssetMark is a fast-growing financial technology company changing the game for advisors and their clients. If you are searching for a challenging, rewarding, and evolving career, you have come to the right place. We offer competitive salaries, full benefits, and excellent opportunities for growth.

To learn more about us, visit our website .

• Creating operating efficiencies: Seek out opportunities within the business to improve processes using data
• Visualizing data: Illustrate events and trends using graphs and other visualizations
• Quantitative analysis: Bring structure to challenging datasets to provide clear conclusions
• Predictive modeling: Leverage machine learning to capture insight invisible to the human eye
• Automation through code: Program away tedious, repetitive tasks to make the most of the day
• Working with other teams: Meet with other departments to engage in cross-departmental projects
• Presenting findings to company leadership: Communicate the conclusions of analysis to guide strategic decisions

• Familiarity with R, Python and/or SQL
• Ability to communicate technical concepts to non-technical audiences
• Cross-functional collaboration
• Ability to convert data to actionable insights
• Comfort working with and organizing large data sets

• Bachelor's degree in Business Analytics, Mathematics, Statistics, Computer Science, Finance, or related degree
• Preferably has programming experience

• A low-level of domestic U.S. travel (approximately 5% - 10% of time) is required

Company Details

BerkleyNet is an innovative workers' compensation insurance provider that conducts all business online. Our goal? To make doing business Ridiculously Fast. Amazingly Easy.

As a Quantitative Analyst, you will solve business problems through data analysis. Combining business insight with extensive data analysis, you'll draw insights, identify trends, and visualize data to impact our business positively. This dynamic role offers the opportunity to apply your analytical skills across the organization. Our Data Analytics team values ownership, challenging projects, knowledge sharing, strong work ethics, and continuous learning.

Primary responsibilities include:

1. Creating operating efficiencies: Identify opportunities to improve processes using data.
2. Visualizing data: Use graphs and visualizations to illustrate events and trends.
3. Quantitative analysis: Structure challenging datasets to provide clear conclusions.
4. Predictive modeling: Leverage machine learning to uncover hidden insights.
5. Automation through code: Automate repetitive tasks to optimize productivity.
6. Collaborating with other teams: Engage with departments on cross-functional projects.
7. Presenting findings: Communicate analysis results to leadership to inform strategic decisions.

Skills/Experience

• Familiarity with R, Python, and/or SQL
• Ability to communicate technical concepts to non-technical audiences
• Experience in cross-functional collaboration
• Ability to convert data into actionable insights
• Comfort working with large datasets

Education

• Bachelors degree in Business Analytics, Mathematics, Statistics, Computer Science, Finance, or a related field
• Preferably with programming experience

• Low-level domestic U.S. travel (approximately 5% - 10%) required

The company is an equal employment opportunity employer. We do not accept unsolicited resumes from external recruiting firms. We offer a competitive compensation plan and comprehensive benefits, including health, dental, vision, life, disability insurance, wellness programs, paid time off, 401(k), and profit-sharing plans. Salaries are determined based on role scope, complexity, location, candidate skills, education, experience, and other employment conditions.

Sponsorship : Sponsorship is not offered for this role.

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Company Details

Company Details

BerkleyNet is an innovative workers compensation insurance provider that does all our business online. Our Goal? To make doing business Ridiculously Fast. Amazingly Easy.

Responsibilities

As a Quantitative Analyst, you will solve business problems with data. With the combination of savvy business insight and extensive data analysis, youll draw insights, identify trends, and visualize data to make a powerful impact on our business. In this dynamic role, youll have the opportunity to bring your analytical skills to every aspect of the organization. The people on the Data Analytics team set each other up for success. We take ownership of our work, seek out challenging and engaging projects, share knowledge, have strong work ethics, and never stop learning.

As a Quantitative Analyst, you will fulfill the primary responsibilities of the role by completing the following:

• Creating operating efficiencies: Seek out opportunities within the business to improve processes using data
• Visualizing data: Illustrate events and trends using graphs and other visualizations
• Quantitative analysis: Bring structure to challenging datasets to provide clear conclusions
• Predictive modeling: Leverage machine learning to capture insight invisible to the human eye
• Automation through code: Program away tedious, repetitive tasks to make the most of the day
• Working with other teams: Meet with other departments to engage in cross-departmental projects
• Presenting findings to company leadership: Communicate the conclusions of analysis to guide strategic decisions
  
  

• Familiarity with R, Python and/or SQL
• Ability to communicate technical concepts to non-technical audiences
• Cross-functional collaboration
• Ability to convert data to actionable insights
• Comfort working with and organizing large data sets
  
  

• Bachelors degree in Business Analytics, Mathematics, Statistics, Computer Science, Finance, or related degree
• Preferably has programming experience
  
  

• A low-level of domestic U.S. travel (approximately 5% - 10% of time) is required
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Financial Services and Insurance

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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Location: San Francisco (Hybrid in SF highly preferred, US only)

What is Verse?

Organizations today are under growing pressure to navigate the transition to clean energy not just to meet sustainability goals, but to manage risk, control costs, and build long-term resilience. Yet the complexity of energy markets and a lack of accessible tools have made it difficult for most companies to take meaningful action. Verse was created to change that.

Our mission is to make the case for clean energy irrefutable. Through our AI-powered platform, Aria, we help organizations plan, procure, and operate clean energy to achieve their financial and sustainability goals. Verse transforms clean energy ambition into action giving businesses the clarity and confidence to lead in a rapidly evolving energy landscape.

The Role

Verse is seeking an experienced Quantitative Analyst to join our Data Science Team. In this position, you will play a key role in advancing cutting-edge algorithms to solve problems in electricity markets, renewable procurement, and risk management. Your research will help our customers deploy and operate renewable energy and battery storage resources, and will contribute to the transition toward a low-carbon economy. As a member of the Verse team, you will work in an interdisciplinary and collaborative environment where your expertise in energy systems, machine learning, optimization, and statistical methods will be key to delivering impactful solutions.

Key Responsibilities

• Conduct Advanced Research: Lead and contribute to high-impact research focused on energy systems, including renewable energy (solar, wind, etc.), energy storage, and novel technologies (e.g. green hydrogen). Independently develop data-driven solutions to problems our customers in this sector are facing.
• Machine Learning & Optimization: Apply machine learning algorithms, optimization techniques, and statistical methods to analyze energy data, advance our software offerings, and improve support for decision-making in the energy sector.
• Data Analysis and Modeling: Use advanced data analysis techniques, simulations, and energy modeling tools to forecast and provide insights relative to the performance of renewable energy resources, battery storage, and novel technologies.
• Collaboration and Teamwork: Work closely across business units and with our customers to share findings and ensure research outcomes are applied to real-world problems.
• Stay Current with Industry Trends: Stay up-to-date with developments in electricity markets and in advancements in quantitative research methods.

What We're Looking For (Minimum Qualifications)

• Masters Degree (or higher) in Engineering, Economics, Computer Science, Operations Research, or a related field. A bachelors degree in a quantitative discipline with 3 years of experience in the energy industry may be considered in place of a graduate degree.
• Expertise in machine learning, optimization techniques, and statistical methods applied to energy systems.
• Understanding of energy technologies, including solar, wind, battery storage, and grid integration.
• Strong analytical, problem-solving, and critical thinking skills, particularly in the application of machine learning and optimization methods to energy challenges.
• Proficiency in Python programming and data analysis tools.
• Strong experience in applying statistical methods to real-world energy data.
• Excellent written and verbal communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences.
• Ability to collaborate effectively in multidisciplinary teams.

What Will Make You Standout (Preferred Qualifications)

• PhD in Engineering, Operations Research, Economics or related field.
• Familiarity with electricity markets (US and global), grid-scale and/or BTM battery storage, energy project development and operation is highly desirable.
• Previous experience in a consulting role is a plus, particularly related to energy systems or technology development.
• Deep knowledge of electricity markets and financial risk.
• Previous experience working in industry or with government agencies on energy-related projects.

What Makes Verse a Great Place to Work?

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$120,000 - $155,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks

• Competitive compensation and equity grant at a high-growth start up
• Comprehensive benefits package including medical, dental and vision insurance, and 401k
• Flexible hours and unlimited PTO
• Diverse and inclusive working environment

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.