John Deeble

John Deeble Email and Phone Number

Sr. Quantitative Investment Risk Analyst @ Mutual of Omaha
omaha, nebraska, united states
John Deeble's Location
Omaha, Nebraska, United States, United States
John Deeble's Contact Details

John Deeble work email

John Deeble personal email

n/a
About John Deeble

Graduate from the University of Alabama with a Bachelor's in Mathematics and a Master's in Finance with a concentration in Financial Engineering. Disciplined worker with a solid track record of experience in financial and computer science industries. A team player with a drive to develop/learn to exceed workplace expectations.GPA: 4.0 / 4.0Graduation Date: May 2017

John Deeble's Current Company Details
Mutual of Omaha

Mutual Of Omaha

View
Sr. Quantitative Investment Risk Analyst
omaha, nebraska, united states
Website:
mutualofomaha.com
Employees:
7467
John Deeble Work Experience Details
  • Mutual Of Omaha
    Sr. Quantitative Investment Risk Analyst
    Mutual Of Omaha Apr 2019 - Present
    Omaha
    View
  • Mutual Of Omaha
    Quantitative Investment Risk Analyst
    Mutual Of Omaha May 2018 - Apr 2019
    Omaha
    View
  • Deutsche Bank Securities
    Credit Structuring Analyst
    Deutsche Bank Securities Jul 2017 - May 2018
    Jacksonville, Florida Area
    Worked on the Collateralized Loan Obligation (CLO) Structuring team, part of Deutsche Bank's Structured Credit Group. Assisted in the CLO creation process, from finding potential clients and creating pitches to monitoring loan pools during the 'warehouse' phase. Determined appropriate tranche sizing and necessary covenants for potential CLOs in order to fit current market conditions, investor wishes, and still rate out by given rating agency models. Use Intex software (IntexCalc, Intex DealMaker) in order to analyze properties of potential and current CLOs.
  • Bbva Compass
    Treasury Intern
    Bbva Compass Jun 2016 - Aug 2016
    Houston Tx
    Worked in the Asset Liability Management team in the treasury department. Our team was responsible for developing, testing, monitoring and maintaining economic based models of balance sheet line item volumes over time. I wrote code in R to streamline the production process of these models - from estimating regression coefficients to creating forecasts to generating tables and graphics of results automatically for existing models. I created a suite of tests to be used in model monitoring. More specifically, I wrote code to systematically test coefficient stability & significance, model performance in-sample and out-of-sample, and relevant model statistics such as homoscedasticity and stationarity. Many tests used confidence intervals determined by bootstrapping.I also worked on data visualization, using the R libraries 'shiny' and 'plotly' to create applications which visualized modeled breakdown of volume changes over time into originations, runoff, charge-offs etc. in a way that a user can manipulate the plots with their desired date-range / line-item.I tried model development as well, coming up with candidate linear regression models for various balance sheet components based on economic reasoning and the validation of statistical tests.
    View
  • The University Of Alabama
    Undergraduate Researcher
    The University Of Alabama Aug 2015 - May 2016
    Finance Department
    Writing code in R and C++ to compute option prices and implied volatility under Black Scholes Merton and several alternative valuation models. Specifically, investigating the relative validity of the assumption that the percent stock price change over time is normally distributed (stocks follow geometric Brownian motion) against the alternative that stock price changes over time in dollar amounts are normally distributed (stocks follow arithmetic Brownian motion). We are also seeking to analyze these models under the assumption that stocks are themselves an option on firm equity (compound option models). Ultimately, to compare these four models for calls and puts, we are going to do a cross-sectional analysis using historical option price data as strike price varies.
    View
  • Pan-American Life Insurance Group
    Actuarial Intern
    Pan-American Life Insurance Group May 2015 - Aug 2015
    Greater New Orleans Area
    Worked in the Product Development department, which develops new life insurance plans to remain competitive in existing markets and to expand to new markets. In addition to developing new products, our department of actuaries oversaw maintenance of current products and ensuring compliance with the latest laws and regulations. I worked mainly in Microsoft Excel and Microsoft Access, using data macros and VBA to format tables of COI (Cost of Insurance) rates. In addition to gaining skills in these two programs, I learned the in's and out's of life insurance, and the life insurance industry.
    View
  • The University Of Alabama
    Undergraduate Researcher
    The University Of Alabama Aug 2014 - May 2015
    Biology Department
    Used Monte-Carlo modeling to evaluate the likelihood of evolutionary parameters (e.g. population size, migration rates, divergence times) among three populations of a bumble bee (Bombus bifarius).Gathered, edited, analyzed and interpreted data using FastSimCoal (software designed to quickly simulated coalescence among populations), R, and Unix shell scripts. Presented research results at the Undergraduate Research & Creative Activities Conference at the University of Alabama.
    View
  • Gcr Inc.
    .Net App Dev Intern
    Gcr Inc. May 2014 - Aug 2014
    New Orleans, La
    Wrote VB.NET client-side and server side code (including LINQ) also a bit of SQL Stored procedures to help develop ABM 5.0. ABM is a front-end airport accounting software that airports use to track their contracts / agreements / accounts receivable etc.
    View
  • Naval Research Laboratory
    Student Researcher
    Naval Research Laboratory Jun 2013 - Aug 2013
    Stennis Space Center, Ms
    Research on using image optimization techniques (Fourier / Wavelet transforms with restricted L1 optimization) in order to improve bathymetry resolution as inferred from altimetry.
    View

John Deeble Skills

C++ R Microsoft Sql Server Microsoft Excel Microsoft Access Fortran Sas Matlab Mathematica Linq Vb.net Unix Latex

John Deeble Education Details

Frequently Asked Questions about John Deeble

What company does John Deeble work for?

John Deeble works for Mutual Of Omaha

What is John Deeble's role at the current company?

John Deeble's current role is Sr. Quantitative Investment Risk Analyst.

What is John Deeble's email address?

John Deeble's email address is jo****@****aha.com

What is John Deeble's direct phone number?

John Deeble's direct phone number is +198563*****

What schools did John Deeble attend?

John Deeble attended University Of Alabama, Manderson Graduate School Of Business, University Of Alabama.

What are some of John Deeble's interests?

John Deeble has interest in Poverty Alleviation, Economic Empowerment.

What skills is John Deeble known for?

John Deeble has skills like C++, R, Microsoft Sql Server, Microsoft Excel, Microsoft Access, Fortran, Sas, Matlab, Mathematica, Linq, Vb.net, Unix.

Who are John Deeble's colleagues?

John Deeble's colleagues are James Janousek, Kehinde Tijani, Matthew (Monte) Jung, Sarah Osborne, Sankeerth N, Holly Davis, Carson Barber.

Not the John Deeble you were looking for?

View similar profiles

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.