Kateryna Khromenko
@katerynakhromenko
I improve operations through data analysis, automation, and clear decision-making insights.
What I'm looking for
At the University of Exeter Business School, I improve compliance-driven operations by turning high-volume data into practical insight. I built a Power BI dashboard covering 47,000+ module change requests, automated an hour-long sampling process to seconds, and introduced checks that catch data issues before reporting deadlines.
Previously at BCS Global Markets, I supported Equities, FX, and Structured Notes operations through reconciliations, Python automation, SQL, and daily PnL reporting. I’ve also built financial data tools in PostgreSQL and Python, delivered Excel and Bloomberg training, and enjoy making complex processes more reliable and efficient.
Experience
Work history, roles, and key accomplishments
Education Support Administrator
University of Exeter Business School
Oct 2022 - Present (3 years 11 months)
Managed compliance-driven processes and data integrity controls across 1,000+ records. Built a Power BI dashboard to surface operational trends from 47,000+ module change requests and automated a manual sampling process, reducing processing time from one hour to seconds.
Specialist, Business Effectiveness Analysis
BCS Global Markets
Jul 2021 - Jun 2022 (11 months)
Monitored the full trade lifecycle across Equities, FX and Structured Notes for HNWI clients, performing daily reconciliations across three internal systems. Built a Python tool to detect missed cost entries and produced daily PnL and performance reports for the Equities desk.
Analyst, School of Finance
Higher School of Economics
Dec 2019 - Nov 2020 (11 months)
Analysed Bloomberg terminal usage and cost data across the faculty, producing a report to support contract negotiations. Coordinated with five faculties to expand Bloomberg access and delivered training on Bloomberg terminals and financial databases.
Research Intern, Financial Engineering & Risk Management Lab
Higher School of Economics
Jan 2020 - Mar 2020 (2 months)
Processed and validated over one million data points from financial market feeds. Built a PostgreSQL database for historical stock data and developed a Python algorithm to calculate liquidity metrics, automating a previously manual calculation.
Education
Degrees, certifications, and relevant coursework
Higher School of Economics
Professional Development Diploma, Product Management
2026 - 2026
Professional Development Diploma in Product Management from the Higher School of Economics, completed in 2026.
Exeter College
GCSE, English
2023 - 2023
Grade: Level 2
GCSE English Level 2 from Exeter College, UK, completed in 2023.
Higher School of Economics
Master of Science, Financial Markets and Institutions
2021 - 2021
Master of Science in Financial Markets and Institutions from the Higher School of Economics, Moscow, completed in 2021.
Higher School of Economics
Bachelor of Science, World Economy and International Affairs
2017 - 2017
Bachelor of Science in World Economy and International Affairs from the Higher School of Economics, Moscow, completed in 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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