Image of Xavier Capdepon

Xavier Capdepon

Structurer / Quant, Structured Products

Director of Data Science

Greater New York City Area

Section title

Xavier Capdepon's Email Addresses & Phone Numbers

Xavier Capdepon's Work Experience

Mizuho Securities Co., Ltd.

Structurer / Quant, Structured Products

December 2006 to May 2008

Greater New York City Area

Credit Agricole Corporate and Investment Bank

Analyst

May 2004 to January 2005

Paris Area, France

Credit Agricole Corporate and Investment Bank

Structurer / Quant, Structured Products

January 2005 to December 2006

Greater New York City Area

Xavier Capdepon's Education

EM Lyon

MS Finance (Corporate Finance track)

2003 to 2004

NYC Data Science Academy

2015 to 2015

Ecole des Ingénieurs de la Ville de Paris

Master of Science (M.Sc.)

1999 to 2002

Xavier Capdepon's Professional Skills Radar Chart

Based on our findings, Xavier Capdepon is ...

Methodical
Active
Forward-thinking

What's on Xavier Capdepon's mind?

Based on our findings, Xavier Capdepon is ...

52% Left Brained
48% Right Brained

Xavier Capdepon's Estimated Salary Range

About Xavier Capdepon's Current Company

Mizuho Securities Co., Ltd.

Frequently Asked Questions about Xavier Capdepon

What company does Xavier Capdepon work for?

Xavier Capdepon works for Mizuho Securities Co., Ltd.


What is Xavier Capdepon's role at Mizuho Securities Co., Ltd.?

Xavier Capdepon is Structurer / Quant, Structured Products


What is Xavier Capdepon's personal email address?

Xavier Capdepon's personal email address is xa****[email protected]


What is Xavier Capdepon's business email address?

Xavier Capdepon's business email addresses are not available


What is Xavier Capdepon's Phone Number?

Xavier Capdepon's phone (212) ***-*135


What industry does Xavier Capdepon work in?

Xavier Capdepon works in the Investment Management industry.


Who are Xavier Capdepon's colleagues?

Xavier Capdepon's colleagues are Christopher Calmeyn, Yeing Vasquez, Zachary Varga, Lynne Foster, Andres Blank, Yesica Morales, Santiago Aimetta, Max Leonard, Simon F., and andreina rego


About Xavier Capdepon

đź“– Summary

Structurer / Quant, Structured Products @ Mizuho Securities Co., Ltd. From December 2006 to May 2008 (1 year 6 months) Greater New York City AreaAnalyst @ Credit Agricole Corporate and Investment Bank From May 2004 to January 2005 (9 months) Paris Area, FranceStructurer / Quant, Structured Products @ Credit Agricole Corporate and Investment Bank ABS Structuring From January 2005 to December 2006 (2 years) Greater New York City AreaDirector of Data Science @ Fetcher NLP (Natural Language processing) related projectsFetcher reduces the pain and expense of hiring collaborators by helping high-growth companies find the candidates whose talents, interests and experience best match the needs of the job and the culture of the team. Greater New York City AreaData Scientist Consultant @ Z. Family Office (Quantitative Data Analytics) • Reconcile data from various sources regarding a large portfolio. • Built a script to automatically reconcile data for a large portfolio - reduced process time by 90% using VBA and Bloomberg Add-In• Wrote a script to format large amount unstructured data from PDF statements to be later reconciled with other databases. Greater New York City AreaSenior Machine Learning Engineer @ Intersection Co. • Designed and built products in Python using traditional machine/deep learning algorithms in a variety of verticals including:o Retail: Developed a seamless in-store checkout solution, for one of the largest US Retailers, that utilized multiple sensors, machine learning, and computer vision to recognize merchandiseo Energy: Created a script that analyzed energy consumption trends in large commercial real estate buildings in order to forecast energy usage and enable the client to become more energy efficiento Advertising: Developed algorithms that enabled Links NYC (out-of-home advertising screens on the sidewalks of NYC) to:  More efficiently count the number of impressions garnered by displayed advertisements using Deep Learning (object location and instance segmentation)  Detect anomalies including screen malfunctions and ad display errors  Obfuscate user data location for the client’s programmatic ad platform  Predict advertising revenues on new potential location around NYC and other major US marketsPrograms: Python (95%), R, AWS, Redshift, EMR, Spark, Scala, SQL,Intersection is owned by a consortium led by Sidewalk Labs, an Alphabet company, and is the result of a merger between Control Group and Titan. Intersection is an urban innovation company that integrates data, connectivity, and media in public spaces to drive revenues, efficiencies and better customer experiences for cities, citizens and brands. Intersection is leading the consortium behind LinkNYC, the largest and fastest free public Wi-Fi network in the world. From July 2016 to September 2018 (2 years 3 months) Greater New York City AreaTeacher Assistant @ NYC Data Science Academy • Taught techniques, approaches to data transformation, and machine learning algorithm related to the Kaggle competition: world’s biggest predictive modeling online competition platform (Student Level: Master to PhD)• Provided students with guidance and direction in solving Machine Learning exercises From June 2016 to July 2016 (2 months) Greater New York City AreaData Scientist Consultant @ Kiski Alpha Partners • Created and designed products using Python, SQL and R, RODBC and visualizations using R Shiny package that include:o A prototype algorithm based on a proprietary SQL database to visualize, understand, quantify and verify the investment management style of various asset managers using several financial factors/ratios such as Momentum, Price-to-Earning, Price-to-Free-Cash-Flows, etc.o A script to extract the diverse components of an asset manager portfolio return based on the Fama-French model From January 2016 to May 2016 (5 months) Greater New York City AreaData Scientist - Self Employed @ CapConsulting • Work on Data Mining, Extraction and Analytics projects for clients in the Advertising, Art History and Finance industrieso Advertising:  Created and developed specific Prototype Algorithm for T. Analytics New York, utilizing NLP (Natural Language Processing), on a large unstructured social media data set to discover trends in the fashion industry for advertising purposes (script is written in Python, R, SQL, Spark and NLTK)  Created visualizations using networkX and networkD3 based on extracted data to support T. Analytics New York in making key business decisions o Art History: Complied client Art History data regarding painters from the XV century and created a matrix showcasing the relation between each artist during this time periodSpeaker:• Guest Lecturer at NEOMIA Business School: “Financial Securitizations before and after the 2008 crisis” • Guest Speaker for the NYC Open Data Meet-up: “Shiny App Demo: Fastest subway in NYC” & “Use python and Spark to dig into 2.5GB/47millions lines of log reports packages” (Aug. & Sep. 2015). From August 2012 to December 2015 (3 years 5 months) Greater New York City AreaTrader / Quant, Structured Products @ Guggenheim Partners o Proactive in generating successful trades in the following asset classes:CDO | Regulation XXX | Guideline 38 / AXXX | DPC | ARS | CSO | Esoteric ABS | Catastrophe Bonds | CLN | Life settlementso Implemented and grew the secondary trading of Regulation XXX securities (regulatory reserves in the insurance industry): traded over $4.25 billion making Guggenheim Securities the market leader for the secondary XXX market.o Built proprietary Excel/Visual Basic for Application ("VBA")/Bloomberg/Intex Add-In based models used to analyzeand price esoteric structured products.o Expanded investor / client base. Developed key client relationship, worked closely with client to develop trades based on business, risk profile and market levels.o Implemented and monitored valuation and risk exposure of a small proprietary book of structured credit securities.o Drafted, reviewed, negotiated and coordinated legal documentation and marketing materials with all the transactionparties (counsels, underwriter, manager, rating agencies, trustee), coordinated due-diligence processes and set-up for CLO and esoteric ABS.o Responded to various business and management questions to ensure deal closings and coordinated inquiries/problem resolutions with all necessary parties of the transaction.o Structured VC backed ABS deals and CLOs using INTEX modeling software & Excel/VBA, including:o $250MM of Middle Market CLO 2.0 closed in 2011o $224MM of Broadly Syndicated/Middle Market CLO 2.0 closed in 2012o $271MM of Venture Debt (life science and health care loans) Esoteric ABS closed in 2011o $129MM of Venture Debt (health care loans) Esoteric ABS closed in 2012 From June 2008 to July 2012 (4 years 2 months) Greater New York City AreaProject Engineer @ Veolia Transport - MERCUR Innovation MERCUR: Maintenance Etude Réalisation en Circulation Urbaine et RégulationTransportation Research & Development -- Software developments From May 2003 to August 2003 (4 months) Paris Area, France


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In a nutshell

Xavier Capdepon's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

1 year(s), 8 month(s)

Xavier Capdepon's Willingness to Change Jobs

Unlikely

Likely

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