Ekaterina joined Roehampton Business School in April 2016 and currently holds the position of Senior Lecturer in Finance. Prior to her role at Roehampton, she served as a visiting lecturer at prestigious institutions, including London Business School, Queen Mary University London, Bayes Business School, and Westminster Business School. During her time as a visiting lecturer, Ekaterina taught courses in finance, econometrics, and quantitative methods.

In 2014, Ekaterina successfully completed her PhD in econometrics at Bayes Business School, where she was under the guidance and supervision of Prof. Lorenzo Trapani. She developed advanced econometrics skills and developed a passion for teaching.

Beyond her academic pursuits, Ekaterina actively engages in volunteering activities. She has contributed her skills and knowledge to various projects with DataKind UK, an organization dedicated to utilizing big data for social good. Ekaterina supports CodeFirstGirls and volunteers with Women In Data, an organization dedicated to reducing gender biases within the Tech industry. Through these projects, she has made a positive impact on society.

Ekaterina's research is dedicated to improving financial literacy with a focus on active learning pedagogy. Her work focuses on the methods that enhance financial literacy and influence financial behaviours, demonstrating her dedication to this important area of study.

Ekaterina's research focuses on financial literacy and proficiency. She is particularly interested in active learning pedagogy to teach financial skills and bring the subject to "life". Ekaterina's research examines and develops personal finance skills among young adults, with a focus on improving financial proficiency. The research mainly targets business school students, as traditional academic settings do not provide enough opportunities to train proficiency and often fail to change financial behaviours. Ekaterina is working on the BAFA CDAF grant to improve financial proficiency at the higher education level. Her approach is called Storytelling for Proficiency Pedagogy.  She believes that financial case studies based on relatable day-to-day scenarios help to teach financial skills to improve financial literacy. Her work is published in international, peer-reviewed journals and presented at conferences.

Ekaterina also researches non-parametric methodology to understand the persistence of returns within investment funds. The findings suggest that a significant proportion of funds appear to be "lucky" performers, which are unlikely to experience significant outperformance in the future and can negatively impact long-term sustainability for investors, including pension funds, sovereign wealth funds, private equity investments, and other investment organizations. Ekaterina's non-parametric identification mechanism enables practitioners to focus on fewer persistent funds for meaningful qualitative scrutiny.

International Corporate Finance (Level 7)

Economics of Money, Banking and Finance (Level 6)

Business Finance (Level 6)

Undergraduate and postgraduate dissertation supervisions

Academic guidance tutor

Formerly:

Introduction to finance and accounting (Level 4)

Business data analysis (Level 4)

Capital markets (Level 6)

• SEDA supervising postgraduate research;
• Postgraduate Certificate in Academic Practice (Technology Enabled);
• Fellow at Higher Education Academy (D2);
• PhD in Finance, Cass Business School;
• MSc in Banking and International Finance, Bayes Business School (London)
• BA Finance and Investment Management, Northumbria University
• BSc Economics

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"The Instrumental Role of Financial Literacy of Young Adults in South West London in Improving Social Mobility and Community Wellbeing"

British Accounting and Finance Association (BAFA) member (since 2022)

Financial Analysts Journal - peer reviewer (since 2022)

The DataKind UK -Data Ambassador (2019)