Natalie Grigorian

Final-year BSc Psychology student with advanced quantitative research experience across statistical modelling, behavioural data analysis and computational research methods. Strong foundation in probability, experimental design and multivariate statistical analysis, with experience applying ANOVA, regression modelling and Python-based data analysis to large behavioural datasets. Experienced conducting independent end-to-end research projects, translating complex quantitative findings into structured analytical insight.

Passionate about quantitative finance, data-driven modelling and applying mathematical approaches to complex systems.

HR Data Analytics Intern - Blackmont Consulting - London

(2025-02)

• Conducted quantitative market research analysing behavioural and performance patterns across large candidate datasets.
• Designed and executed independent research projects involving data collection, trend analysis and statistical interpretation.
• Worked within a fast-paced research environment managing multiple concurrent analytical projects.

Volunteer Trainee - Citizens Advice Havering - Remote

(2025-09 - 2025-12)

• Conducting needs assessments and providing tailored guidance to clients on housing, benefits, and employment – applying active listening and real-time problem-solving to understand and address user needs.
• Developing skills in communicating complex information clearly and empathetically to vulnerable users across diverse backgrounds.

Accountant Bookkeeper - Dovewalk Ltd - London

(2023-06 - 2025-09)

• Analysed large financial datasets to identify operational inefficiencies, developing evidence-based recommendations presented to senior stakeholders – building skills in insight generation and data storytelling.
• Interpreted complex documentation and audit data to produce strategic reports, demonstrating ability to work rigorously with quantitative information and communicate findings clearly under time pressure.

Quantitative Research Analyst (Virtual Simulation) - J.P. Morgan (Forage)

(2025-08 - 2025-08)

• Applied Python (Pandas) to clean, manipulate and analyse large-scale financial and behavioural datasets.
• Built quantitative models to identify trends, statistical relationships and predictive signals within simulated market environments.
• Conducted explanatory data analysis and statistical testing to evaluate model performance and behavioral patterns

BSc - Psychology with a Year Abroad - University of East Anglia (2022-09 - 2026-07)

Psychology - University of Seville (2024-09 - 2025-06)