I'm a BSc Finance graduate from Queen's University Belfast, finishing with First Class Honours, now a Valuations Graduate at KPMG Dublin. Before that I spent 12 months on placement at Susquehanna International Group in Dublin — one of the world's leading quantitative proprietary trading firms.
Alongside the finance, I work comfortably in Python and SQL, and reach for them wherever they make analysis faster or more reliable. Across 12 months at SIG, rotating through Options Trade Support, ETF Trade Support, and Settlements, that meant building a framework to estimate rebates across 1,000+ listed derivatives on 6 European exchanges, automating market-making analytics, and developing a PyQt reconciliation tool the team adopted into its daily workflow. As a research assistant at QUB, I used Python and Google Gemini OCR to digitise archival stock-price data for a study on preference-share voting rights and returns.
Before SIG, I led equity research as Sector Head for Consumer Discretionary at the Queen's Student Managed Fund, and served as CFO of Queen's Consulting — securing £5.5k in sponsorship and growing membership to 180+. I'm also 1 of 9 selected for QUB's Investment Banking Mentor Scheme, mentored by a BlackRock VP.

KPMG · Dublin
Financial Instruments team within Valuations — pricing and reviewing complex derivatives, structured products, and illiquid securities for audit and advisory clients.

Susquehanna International Group · Dublin
Supported daily trading ops across Options, ETF, and Settlements desks, partnering with 20+ market makers. Built a Python/SQL rebate-estimation framework spanning 1,000+ derivatives on 6 European exchanges. Shipped a PyQt early-exercise reconciliation GUI for MEFF, ICE, and CEDX — adopted by the team and reviewed by TechOps.

EHL Experiences · Dublin
Managed cash reconciliation and float controls across multiple venues, produced sales forecast vs. actual and covers analysis, and tightened internal controls through redesigned reporting worksheets.

Queen's University Belfast · Remote
Digitised archival stock-price data from the Stock Exchange Daily Official List using Python and Google Gemini OCR, supporting academic research on preference-share voting rights and returns.

Queen's Student Managed Fund · Belfast
Supervised analysts producing equity research reports and represented the fund at sponsor stock-pitch events. Built fluency with the Bloomberg Terminal and fundamental valuation.

Queen's Consulting · Belfast
Secured £5.5k in sponsorship (incl. Grant Thornton), grew membership to 180+, and delivered 4+ flagship events with 100+ attendees — including the society's inaugural consulting case competition.
Event study of 84 FTSE 350 buyback announcements (2020–2025), testing Jensen's free-cash-flow hypothesis via market-model CARs and cross-sectional regressions.
12-page initiation with a ¥7,303 sum-of-the-parts DCF price target (+27%). Core thesis: the market misprices TOTO as a sanitary-ware maker, overlooking its Advanced Ceramics arm — the sole qualified electrostatic-chuck supplier for Lam Research's 3D-NAND cryogenic etch — which earns ~40% of operating profit at a 40%+ margin. Catalysed by Palliser Capital's activist Value Enhancement Plan; full DCF, relative valuation, and bear/base/bull scenario analysis.
Credit study of Apple's ~$83bn senior-unsecured bond stack: maturity-profile and refinancing-risk analysis, USD yield and Z-spread curves benchmarked against the US AAA composite, and peer leverage analysis (Net Debt/EBITDA −0.45x, FCF/Debt 150%) alongside 5Y CDS dynamics through the April 2025 tariff shock.
Modular desktop application that pulls live yfinance data, computes synthetic NAV, premium/discount, tracking error, and liquidity metrics, then generates a decision-tree trading signal for on-screen creation/redemption opportunities. JSON-driven settings, matplotlib visualisations, and export to Excel / clipboard / text.
Modelled LP rebate schemes across 1,000+ derivatives on 6 exchanges, FX-normalised to USD, to direct trader effort toward the highest-value products.
Daily MM performance reporting suite (MEFF, Eurex, CEDX) with live Grafana monitor and trader-level feedback loops.
PyQt application unifying evening options exercises, assignment flagging, and position queries — adopted by the team and reviewed by TechOps.
Python + Google Gemini OCR pipeline transforming archival SEDOL records into a structured dataset for academic finance research.

BSc Finance, First Class Honours (with a year in industry)

A-Levels & GCSEs
Always happy to talk markets, derivatives, exciting opportunities — or to share advice with anyone navigating placements and grad apps.