Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Software
Timeline
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Patrick O'Neil

Patrick O'Neil

Head of Financial Analytics
Chicago,IL

Summary

Gifted Lead & Director within Quantitative Data and Risk mitigation Engineering with an emphasis in Econometrics IVL and Machine Learning architecture bringing innovation in the Financial and overall FinTech industries with rare capabilities. Many abilities lay in multi-competitor analysis, quantitative business intelligence, theoretical mathematics and derivatives, risk and trading development with market processing strategy assessments. These abilities led to new company products, offerings and services to promote company advancements and boost streamline asset performance. Proactive and industrious in achieving targets by leveraging predictive Deep Learning algorithms and producing well-planned recommendations through quantitative and financial measures.

Overview

4
4
years of professional experience
6
6
years of post-secondary education
4
4
Certifications
5
5
Languages

Work History

Head of Financial Analytics

CoinFlip
Chicago, IL
12.2020 - Current
  • Built and maintained databases for designing micro algorithmic strategies to improve intelligence towards forecasting future financial performance.
  • Solved complex problems for senior leadership to execute on-time and under-budget projects.
  • Improved financial status by analyzing results, monitoring variances and recommending actions based of recommendation engine building and nonlinear custom algorithmic development. .
  • Identified budget variances and recommended corrective actions, avoiding overruns and maintaining positive adj quantitative risk metrics.
  • Developed spreadsheet models for diverse projects and analysis.
  • Reviewed weekly and monthly budget performance reports, ensuring all departments and agencies operated within allocated budgets and investigated excessive expenses and reporting discrepancies.
  • Monitored and analyzed financial, statistical and operational data trends within the elasticube environment model and ToSS/Rstudio Pro language,IDE, Modeling platform.
  • Ran and analyzed monthly revenue risk reports for executive team.
  • Developed rebalancing/offsetting slippage strategies to minimize risk exposures with T-SQL.
  • Adjusted offset hedge ratio exposures to compensate for market conditions and volatility for current hedging strategies.
  • Assessed exposure, compared valuations and evaluated threats to strategies utilizing multi conditional programming statesmen's in CPP/C++, Python3, R, Java/ JavaScript and visuals through modeling behaviors of derivatives to develop & implement thresholds limits.
  • Conducted presentations to executive teams for adjusting risk, assessed validation requirements with recommendations from PCA, EDA, RTR, OLS, RDD, NBT,MLP, with XG boosting methodologies/analysis.
  • Established strategy for operations reporting and analytics, identifying key needs for deliverables while driving continuous improvement of processes.
  • Employed strong program management skills to successfully define and manage ongoing initiatives designed to control "WoE" metric risks.

Corporate G&A Business Analyst

Medline Ind. [HQ]
Northfield, IL
04.2019 - 12.2021
  • Employed optimal safety practices to reduce work site complaints, hazards, incidents or lost-time accidents to improve overall OSHA scores and expand bid opportunities.
  • Evaluated product development strategy effectiveness and prepared alternative approaches to exceed goals.
  • Resolved issues and recommended actions based on production and compliance reports.
  • Mitigated financial discrepancies by efficiently managing budget and payroll operations.
  • Increased efficiency by analyzing data and maximizing opportunities for improved productivity across several areas.
  • Orchestrated smooth and effective flow of Healthcare data to support patient requests in Hierarchy Process of Item Selections through SAP.
  • Evaluated discrete relative ratio patterns towards Shipping and Item against Patient Value trends to understand competitive environments and assess current strategies during National HCPCS Bid process.
  • Suggested alternative goods in inventory by observing FIFO approach to prevent increases in GM costs by using DED and DIR requests through SAP.
  • Used Excel, Lucid, DART, and SAP to model data and aggregate forecast trends.
  • Conducted research and investigations into sales operations from sales reps, commission reports and PTT trend analysis.
  • Performed equipment audits and reviewed use data to determine purchasing needs.

Sr. Quantitative Data Intelligence Engineer

K-Ratio
Chicago, IL
01.2021 - 11.2021
  • Analyzed complex data and identified anomalies, trends and risks to provide useful insights to improve internal controls.
  • Azure Administrator and Architect.
  • Querying bridge tables, data synchronization, a-synchronization management.
  • Restructured spark modules for optimum data processing through multiple connected sources, eliminating latency.
  • Measured statistical sensitivity of impact analysis towards cryptography-based platform, optimizing returns.
  • Built custom and code for VBA Excel Template towards option and Greek calculator for underlying future contracts.
  • Built a Dual Market Quantitative Monitoring and Analysis chain linking, Financial and Freight. Discovered multiple hedging strategies, correlations, and deliverables in punctual manner.
  • Applied Black Scholes Theoretical integration from delta differential modeling to display pivot points and hyper parameter's towards optimization.
  • Created forward looking strategies under discrete mathematical functions through python, PyTorch, TensorFlow and drawdown scenario modeling.

Quantitative Derivatives Trader

TickerTocker
New York, NY
12.2018 - 09.2021
  • Developed and implemented performance improvement strategies and plans to promote continuous improvement.
  • Proved successful working within tight deadlines and fast-paced atmosphere.
  • Profited volatile equities & performed advanced option strategies through exploiting unusual option chain activity and ETFs via Bloomberg pro. (Inverse split strike butterflies, Double diagonal Spreads, Short and long Straddle and Strangles/Combinations).
  • Executed swing, position, and options off Merger arbitrage & stock catalysts.
  • Created custom EPS and delta securities formula towards long calls with 6% dev.
  • Proficient in Bloomberg Pro, Nasdaq Level II, TOS, Excel and Tableau that allowed charting analytics off Intraday Market Movers. to calculate momentum and volume.
  • Technical analysis, fundamental analysis and charting capabilities off real-time data. Macro & microeconomics futures analysis prior and after trading hours.
  • Utilization of advanced charting indicators and drawings to identify turning points and shifts in price action compared to price resistance levels. (MACD, Support/ Res123 levels, volume, DMI, VWAP, Fibonacci Arc zones, Regression Trends/ Channels).
  • Top Trader on TickerTocker Platform for 6 months in a row with an 800k return in 2 months.
  • Developed advanced product knowledge to share current information while generating and delivering products quotes.
  • Managed intake of stop-loss RFPs, fulfilled RFPs from internal underwriting team and preferred partners, tracked RFP performance and made recommendations to management for changes to products and policies.

Education

Bachelor of Science - Financial Services Marketing Operations

Carthage College
Kenosha, WI
06.2015 - 01.2018

Associate of Applied Science - Statistics

Stanford University
Stanford, CA
06.2016 - 09.2017

Bachelor of Arts - Technical And Scientific Communication

Carthage College
Kenosha, WI
06.2015 - 01.2018

Skills

Data Science

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Accomplishments

  • Collaborated with team of 5 Analysts in the development of Signal Processing and Location Analysis.
  • Top Derivatives and overall number one trader with highest return YTD at Ticker Tocker. 615% Peak return at a 70-day TNPV.
  • Process & Product Improvement: Implemented a new future GM cost based off discrete margin error rate % spread towards productivity improvement plan within proprietary software to implementation in Triage. Resulted in thousands towards company savings.
  • Sr. Machine Learning Architect and engineer for entire company towards freight futures market and spot price using lasso, TensorFlow, glmnet2, R, Solver, Optimization, DT, RFF, DLNN, Predictive Analytics to increase available and develop futures and pricing products.
  • Industry breaking developments within the algorithmic design process of collecting data to find next best fit approaches for optimal accuracy.

Certification

CQF.ip - Quantitative Financial Engineer

Software

Machine Learning

Deep Learning

Quantitative Financial Modeling

SQL

Azure Synapse Analytics and Administrator

Google Big Query Cloud

MLP

NLP

Derivatives

Timeline

Sr. Quantitative Data Intelligence Engineer

K-Ratio
01.2021 - 11.2021

Professional Certification, C++ | Developer

01-2021

Professional Certification, SQL | Certified DBA

01-2021

Head of Financial Analytics

CoinFlip
12.2020 - Current

CQF.ip - Quantitative Financial Engineer

12-2020

Professional Certification, Data Science | IBM Certified

11-2020

Corporate G&A Business Analyst

Medline Ind. [HQ]
04.2019 - 12.2021

Quantitative Derivatives Trader

TickerTocker
12.2018 - 09.2021

Associate of Applied Science - Statistics

Stanford University
06.2016 - 09.2017

Bachelor of Science - Financial Services Marketing Operations

Carthage College
06.2015 - 01.2018

Bachelor of Arts - Technical And Scientific Communication

Carthage College
06.2015 - 01.2018

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Patrick O'NeilHead of Financial Analytics