Prachi Hejib

Strategic Behavioural Science Researcher with over 5 years of experience delivering high-impact experiments, policy interventions, and data-driven solutions across government, academic, and commercial sectors. Deep expertise in experimental analysis of decision-making in complex environments such as investment disclosure, information overload, and choices under risk gained in Behavioural Economics PhD. Skilled in designing, programming, and conducting online and in-lab experiments (oTree, Qualtrics, Amazon Turk), with strong data analysis abilities in Stata and R. Demonstrated success leading multidisciplinary teams, collaborating with stakeholders such as Norfolk County Council, and translating behavioural insights into actionable strategies that improve customer outcomes and organisational effectiveness. Communicates complex research findings with clarity to both technical and non-technical audiences. Highly organised, outcome-driven, and thrives in
challenging environments, bringing a strong focus on collaboration, user needs, and measurable impact. Passionate about using research to simplify complex systems and improve lives; making products, services, and policies that work for everyone.

University of East Anglia 2018 - present

PhD Researcher

Thesis Title: Applications of the Mean-Variance Utility Function to Complex Financial Decision-making in Experimental Economics – Led and collaborated on multiple research projects applying behavioural economics to real-world challenges, including

complex decision-making environments and digital choice design.
– Designed, programmed, and analysed remote and in-person experiments (oTree, Qualtrics, Amazon Turk) testing user

behaviour under risk and choice overload. In particular, we developed a digital website-style interface to test choices

under risk, such as investment decisions, for use in online experiments.
– Synthesised findings into actionable insights presented to both technical and non-technical audiences at internal

seminars and international conferences. Has successfully presented externally at Oxford Behavioural Summer School, CeDex (Nottingham), CEBES (UEA), ESA World Conference (online), and the CCC conferences ( at Amsterdam and Nottingham), as well as internal University seminars.

– Taught and mentored undergraduate students in Microeconomics, strengthening communication and facilitation skills.

Norfolk County Council Collaboration 2022 - 2023

Lead Researcher – Behavioural Interventions for NEET Youth

–  Designed and delivered a Randomised Controlled Trial to increase engagement rates among 16–18-year-olds not in education, employment, or training (NEET).

–  Secured buy-in across UX and policy teams, navigating infrastructure limitations to deliver high-quality insights under time constraints.

–  Presented clear, actionable findings to non-technical stakeholders, influencing improvements to council outreach strategies.

Allianz Global Assistance 2016 - 2017

Commercial Reporting Analyst (FP&A Team)

– Delivered commercial performance reports and risk analyses to leadership teams.
– Collaborated cross-functionally to improve reporting accuracy and enhance internal decision-making.

Omnicom Finance Jan 2015 – Aug 2015

Treasury Analyst

–  Conducted daily reconciliation and cash flow analysis across 27 currencies, ensuring financial accuracy across international bank accounts.

–  Produced monthly reporting packs and margin analysis to support strategic financial decisions across London, Dublin, and New York teams.

–  Managed intercompany borrowing and lending agreements, developing strong attention to detail and negotiation skills.

–  Strengthened stakeholder relationships through clear and timely communication with subsidiaries and international

agencies.

–  Balanced administrative system maintenance with rapid problem-solving to support global currency operations under

tight deadlines.

BDG Architecture + Design (WPP) Mar 2013 - Aug 2013

Finance Placement Assistant

–  Delivered daily, monthly, quarterly, and annual audit reporting to strict deadlines, demonstrating strong time management and high attention to detail.

–  Solely responsible for producing clear, accurate visual reports and data visualisations for leadership presentations and monthly board packs.

–  Conducted project valuations using diverse forecasting and financial analysis techniques, developing analytical problem-solving skills.

–  Managed large datasets and improved data quality in Excel, strengthening data management and reporting accuracy.

–  Proactively applied analytical concepts to optimise project profitability, highlighting initiative and strategic thinking.

–  Built and maintained productive relationships across finance and operational teams, ensuring effective communication

and collaboration.

Department for Work and Pensions (DWP) Jul 2012 – Mar 2013

GES Placement Student, Working Age Benefits Analysis Team

–  Conducted quantitative analysis of benefit caseloads, maternity claims, and jobseeker trends to support national policy development.

–  Analysed large-scale datasets (Work and Pension Longitudinal Survey), applying statistical techniques to identify user behaviour patterns and service outcomes.

–  Produced concise evidence-based reports for internal stakeholders and policy teams, contributing to service delivery improvements.

–  Collaborated within a multidisciplinary analysis team, aligning research insights with broader government priorities.

–  Developed skills in policy evaluation, user behaviour analysis, and stakeholder-focused research communication.

University of East Anglia 

PhD, Behavioural Economics

University of Nottingham

MSc, Behavioural Economics (Merit)

Coventry University

BA, Economics with Year in Industry (First Class honours)