- Produced weekly actuals vs. budget reports tracking $6M in spend across virgin and recycled polymer projects.
- Modeled IRR and payback for a Mexico City JV, stress-testing 4 capex paths behind a $4.2M allocation decision.
- Rebuilt company site architecture and SEO, supporting BD operations with 60% higher inbound engagement.
Logan Lisowski
Orlando, FL · Finance & Advisory
Hi, I’m Logan Lisowski. I’d love for us to get to know each other, so here’s a little about myself.
The question that has shaped most of my undergraduate work is a simple one: what earns a client the right to trust you with the next decision? Trust is the only thing that compounds in advisory work, and the last four years have been an attempt to understand how it gets built.
I tested that thinking most directly in my senior research under Professor Marc Sardy. I screened 1,488 ISINs and isolated 60 Chinese serial acquirers across 308 deals. The study found that high-ESG acquirers outperformed low-ESG peers by 2.14 percentage points in post-acquisition ROA, robust across 1,000 placebo permutations with zero false positives. It is the cleanest result I have produced and the project I am most proud of.
The discipline behind that study came from two years as Vice President of Investment Research at the Rollins Student Investors Network. I covered a hundred equities across eight sectors, working in Bloomberg and FactSet every week. The lesson that stuck: the model almost never holds the opinion. The opinion lives in the assumptions, and the only real question is whether you were honest with yourself when you made them. The portfolio I helped manage outperformed the S&P 500 by two and a half percent over my tenure.
Alongside the research, I have worked four sides of the desk. I co-founded SFIN Media sophomore year and ran it to ten thousand plus a month in recurring revenue. At b+h Polymers I produced weekly variance reporting against $6M in spend and modeled IRR for a $4.2M Mexico City JV decision. At EdgeFinder I built a Python screener tracking 200 indicators that hit a 63% win rate on nine years of futures data. At Kin Homes Solar I closed $450K in residential contracts in five months. Each role was a different version of the same lesson: the work isn’t done until someone on the other side can use it.
I graduated Rollins in May 2026 with a 3.8 GPA, Magna Cum Laude, and the SIE in hand. I want my next role to take the research seriously and the client side just as seriously. Wealth advisory, capital markets, or FP&A. Somewhere a decision actually depends on what I put on the page.
Rollins. Sydney. Madrid.
Four rotations across markets, FP&A, and client books.
- Generated $450K in residential contracts, applying CRM tracking to convert 1 in 4 prospects in 5 months.
- Used CRM-based lead scoring and reporting to beat weekly quotas by 25%, ranking 3rd on a 14-rep team.
- Translated complex tax credit and financing structures into clear client summaries, lifting conversion rate by 30%.
- Built a Python analytics tool tracking 200 indicators across markets, delivering data-driven analysis to the trade team.
- Backtested a 9-year futures data set, producing a 63% win rate signal validated by rigorous statistical analysis.
- Built 50 analysis libraries across momentum, mean-reversion, and breakout strategies, used by retail clients.
Customers: retail traders running momentum and mean-reversion strategies.
- Co-founded a digital agency, driving 30% more inbound leads and lifting client revenue 45% across 14 months.
- Built Excel dashboards with pivot tables tracking CAC, LTV, ROAS, and churn, cutting client costs 35%.
- Delivered monthly variance reports linking $50K ad spend to $850K in tracked client revenue per account.
Research and tools, live and clickable.
EdgeFinder
A Python screener with 200 indicators, 50 libraries, and a 63 percent win rate on a 9-year futures set.
HIP ESG Research Study
Senior thesis under Professor Marc Sardy. Difference-in-differences study of 60 Chinese serial acquirers and 308 deals showing high-ESG firms outperform low-ESG peers by 2.14pp in post-acquisition ROA.
Retirement Architect
Social Security claim-age optimizer and tax-aware income sequencer across Traditional, Roth, taxable, and HSA accounts. Surfaces advisor-grade variance for client planning use.
Rollins, Sydney, Madrid.
- International Operations
- Global Business Strategy
- International Financial Management
- Investments
- Forex
- Senior ThesisProf. Marc Sardy
- Chi Psi Fraternity2022 to 2026
- Fellowship of Christian Athletes2023 to 2026
- Student Investors Network2023 to 2026
- Peer Mentor2023 to 2024
- SIECertified
- Microsoft ExcelCertified
- Bloomberg TerminalESG · BFF · BMC
- FactSetCertified
- HubSpotCertified
What sits on the desk, and in the stack.
- Financial Modeling
- DCF
- Comparable Analysis
- IRR / Payback
- Variance Reporting
- Portfolio Management
- M&A Analysis
- Python
- pandas
- statsmodels
- SQL
- Backtesting
- Algorithmic Trading
- Statistical Analysis
- Bloomberg Terminal
- FactSet
- Excel (Advanced)
- Tableau
- HubSpot CRM
- MS Suite
- SIE
- Bloomberg ESG
- Bloomberg BFF
- Bloomberg BMC
- FactSet
- Microsoft Excel
- English, Native
- Spanish, Professional
- Italian, Beginner
- Chess
- Golf
- MMA
- Skiing
- Surfing
- AI/ML
Get in touch.
Available immediately. Open to full-time roles in wealth advisory, capital markets, and FP&A. Orlando, FL or relocation. Prefer a call over a form.