Applied Economics Policy Advisor
Weekday AI
Applied Economics Policy Advisor
Weekday AI
Proactive software engineer recruitment via referrals
Weekday AI · Delhi, India · Full-time · Posted 2026-11-05
Salary: INR 1,100,000–1,400,000
Workplace: on_site
Department: Weekday's Client via platform
This role is for one of Weekday’s clients
Salary range: Rs 1100000 - Rs 1400000 (ie INR 11 - 14 LPA)
Min Experience: 5+ years
Location: Delhi
JobType: full-time
We are seeking an Applied Economics Policy Advisor with strong expertise in quantitative economics, econometrics, regulatory analysis, and policy design. The role involves translating scientific evidence and complex economic data into practical economic assessments, policy recommendations, and informed decision-making.
The ideal candidate will have approximately 5–6 years of relevant professional experience, preferably combining applied economics with quantitative and qualitative policy analysis. They should be comfortable undertaking analytical and advisory assignments for industry, government, and other institutions, with the ability to develop actionable recommendations supported by robust economic evidence.
Experience in one or more of the following areas will be an advantage:
A Master’s degree in Economics, Applied Economics, Public Policy, Environmental and Resource Economics, or a related discipline is preferred.
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Proactive software engineer recruitment via referrals
Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.
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