Martha E. Rojas Vera

• Lead hands-on quantitative research projects analyzing large, multi-source datasets (transaction data, client behavior, macro indicators) to identify investment signals, cycle positioning and asset-level opportunities

• Design and implement statistical and predictive models to anticipate buy/sell/refinance behavior across market cycles, supporting equity and debt investment decisions

• Conduct macro-thematic research, linking economic indicators (rates, liquidity, inflation, growth regimes) to asset performance and valuation dynamics

• Build analytical frameworks connecting macroeconomic variables with asset returns, risk and liquidity, used to inform capital deployment strategies

• Translate complex quantitative outputs into clear, actionable investment insights for senior decision makers and buyside/sellside/M&A deals.

• Built and maintained full financial models (P&L, Balance Sheet, Cash Flow) to support strategic decision-making and valuation.

• Performed quarterly company valuation, scenario analysis and sensitivity testing under different macro and market assumptions

• Conducted in-depth research across asset classes and portfolios to identify value-creation opportunities and risk drivers

• Analyzed the financial impact of strategic decisions under multiple scenarios, supporting capital allocation choices

• Worked with SQL-based financial and operating models (200,000+ assets), enabling scalable, data driven valuation and forecasting.

Member of the International Equity Team managing US, Japan, Emerging and Global Equity funds (2.000 Mill

€ AUM/ BBVA Bolsa USA FI, BBVA Bolsa Japon FI and Quality Mejores Idas FI).

• Conducted fundamental equity research and valuation across global markets to support portfolio

construction decisions.

• Performed company analysis, sector allocation and risk assessment, integrating macro views with

bottom-up insights.

• Developed equity screening models combining quantitative signals with fundamental data to enhance

stock selection

• Monitored portfolio performance, attribution, volatility and tracking error on a daily basis.

• Led thematic investment research, identifying structural trends and the companies positioned to

benefit.

• Held regular meetings with sell-side analysts and external research providers to challenge assumptions

and refine investment theses.

Tools: Bloomberg, Excel, VBA