Associate Economist 2

Overview

This role supports consumer credit and auto-sector forecasting, data validation, economic research, and client communication within a structured monthly analytical workflow.

Responsibilities

• Validate and quality-check incoming consumer credit and auto-sector datasets on a recurring monthly basis, ensuring accuracy, completeness, and consistency
• Produce consumer credit and auto forecasts while analyzing regional, global city, and country economic data to support timely and accurate deliverables
• Develop research papers and analytical projects focused on consumer credit trends, household balance sheets, and the auto credit industry (may serve as primary author on topical analysis)
• Serve as a direct resource to external and internal clients for states, countries, and metro areas; respond to inquiries and manage customized client deliveries with increasing independence
• Contribute to client presentations and, with experience, assume increasing responsibility for presenting at virtual, in-person, and internal meetings, including product demonstrations
• May specify simple forecast equations and support model building with supervision; function as a peer editor for junior colleagues after gaining sufficient experience
• Collaborate with senior economists and cross-functional team members to maintain high-quality, timely deliverables and support ongoing workflow improvements

Skills & Competencies

• Broad knowledge of economics, including familiarity with microeconomics, macroeconomics, and econometrics, with the ability to interpret economic data and analytical findings across regional and global markets
• Strong quantitative and analytical skills, with demonstrated experience working with large structured datasets and applying statistical or economic analysis methods
• Clear and effective written and verbal communication skills, including the ability to respond to client inquiries, support presentation development, and explain analytical results to both technical and non-technical audiences
• Ability to manage recurring data validation and forecasting workflows alongside longer-term research projects within a structured monthly cycle, working independently and collaboratively
• Experience in consumer credit, household balance-sheet analysis, or auto-credit markets is preferred; experience on the credit side of the auto sector is a strong advantage (sector-specific knowledge is not required, as training is provided for motivated candidates)
• Experience with programming languages such as Python, SAS, C, or a comparable language; ability to critically assess whether AI-generated code is reasonable and accurate rather than accepting outputs without verification (preferred but not required)
• Familiarity with cloud computing environments and data engineering tools, including AWS services such as Glue ETL, S3, and Athena (preferred and considered a differentiating strength)
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency; willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

• Bachelor’s degree in economics, finance combined with significant economics training, or mathematics paired with applied economics knowledge is required; a master’s degree is preferred
• A bachelor’s degree with three or more years of relevant experience in economic forecasting and consulting will also be considered

Compensation & Benefits

For US-based roles only: anticipated hiring base salary range is $67,800.00 - $98,400.00, depending on factors such as experience, education, level, skills, and location (full-time position). In addition to base salary, this role is eligible for incentive compensation.

Benefits include medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Location

• For US-based roles only: anticipated hiring base salary range is provided above.
• For San Francisco positions: qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

Additional Information

• This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
• Candidates may be asked to disclose securities holdings pursuant to the employer’s policy for securities trading and the requirements of the position. Employment is contingent upon compliance with the policy, including remediation of positions in those holdings as necessary.
• Equal opportunity employer; reasonable accommodation is available for qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws.