Summary
Overview
Work History
Education
Skills
Professional Designations
Timeline
Generic

Joshua Beauchamp

Hamilton

Summary

Dynamic financial risk professional with a proven track record at BMO Financial Group, excelling in quantitative analysis and risk management. Spearheaded the development of a Python-based FRTB capital aggregation engine, enhancing reporting efficiency. Recognized for automating processes, saving significant time, while effectively communicating complex risk methodologies to stakeholders.

Overview

8
8
years of professional experience

Work History

Director, Market Risk Capital (FRTB)

BMO Financial Group
11.2023 - Current
  • Appointed team lead of FRTB production team, which includes:
  • Directing and coordinating tasks amongst the team to ensure timely and accurate FRTB market risk capital calculations
  • Leading weekly presentations of FRTB market risk capital drivers to all stakeholders across the bank (front office, risk oversight)
  • Developed BMO’s Python based FRTB market risk capital aggregation engine (SBM for all asset classes, DRC, RRAO)
  • Independently responsible for development of new features critical for market risk capital reporting and internal risk monitoring
  • Implemented Euler decomposition of capital charges into FRTB aggregation engine, enabling the bank to view capital attribution at the position level in an additive manner
  • Key front office contact for providing RWA estimates for proposed trading activity – developed BMO’s tool that enables this capability (Python, SQL)
  • Developed FRTB market risk capital stress testing and ‘what-if’ analysis scenarios, methodology and quantification tools (Python, SQL)

Associate, Equity Finance

RBC Capital Markets
06.2023 - 11.2023
  • Cover firm and client short positions
  • Book client returns and recall requests
  • Automate and enhance reporting capabilities (VBA, Python)

Manager, Counterparty Credit Risk

BMO Financial Group
11.2020 - 06.2023
  • 2022 annual performance award recipient
  • 2021Q1, 2022Q1, 2022Q2 quarterly performance award recipient
  • Key front office contact for complex and/or highly material live derivative, SFT and DFT exposure calculations and credit limit checks (includes all traded products across all desks)
  • Provide weekly oversight of BMO’s CCR exposure to all clients, explaining key drivers of material exposure changes and trends across all traded derivative, SFT and DFT products
  • Assist portfolio managers in setting exposure trading limits for diverse set of derivative, SFT and DFT products by providing scenario-based analytics of main risk drivers
  • Communicate rationale for risk methodologies and exposure figures to portfolio managers and traders
  • Develop exposure calculation methodology for new traded derivative products (for all desks)
  • Appointed team lead for quarterly risk model parameter calibrations, which includes:
  • Directing and coordinating various tasks amongst a team of six
  • Parameter change calculation/justification for all risk models (FX, IR, equity, commodity, credit)
  • PFE impact analytics for all OTC derivative and SFT products
  • Presentation to upper management, trading desk heads and corporate banking
  • Significantly improved efficiency of quarterly model calibrations by automating various manual processes (using Python, SQL, VBA) saving over two months of work per quarter
  • Developed and maintained interest rate swap and basis swap risk factor calculator which was implemented as part of CCR’s quarterly calibration process (Python, VBA)
  • Implemented several enhancements to weekly ad-hoc equity model calibration process (Python, VBA, SQL)

Senior Financial Risk Analyst

TMX Group
12.2019 - 11.2020
  • Key involvement in CDS Clearing (Canadian equity central counterparty) post-trade risk modernization project
  • Responsibilities included MATLAB and SQL code development, methodology validation & participant impact analysis for clearing member margin requirements (Base Initial Margin, Mark-To-Market, Wrong-Way Risk, Minimum Liquidity Requirement)
  • Assisted in the development of equity portfolio and individual equity SVaR and HVaR MATLAB/SQL models for haircut and base initial margin calculations
  • Independently developed underlying methodology and implemented MATLAB/SQL model for CDS Clearing collateral fixed-income stress testing

Senior Quantitative Analyst, Model Validation

Sun Life Financial
04.2019 - 12.2019
  • Validated Risk Metrics CDS VaR stochastic credit migration and pricing model
  • Performed data validation and feature selection methodology review for automated underwriting random forest model
  • Replicated and validated methodology of Finastra Summit derivative valuation engine using Python for the following products: vanilla interest rate swaps, cross-currency interest rate swaps, zero-coupon swaps, swaptions and FX-forwards
  • Replicated bootstrapping/interpolation and assessed methodology of discount curve construction for USD/CAD LIBOR, USD/CAD OIS and various cross-currency curves using Python
  • Assessed constraints and limitations of models, challenged model conceptual soundness including methodology, logic, assumptions, inputs and outputs

Actuarial Associate

Munich Reinsurance Company of Canada
09.2017 - 07.2018
  • Developed Munich Re’s primary tool for producing critical illness pricing incidence rates using VBA and SQL programming
  • Ad-hoc data analytics on 3M+ records with PL/SQL programming
  • Maintained and updated key pricing metrics of the GGY AXIS individual life, disability and critical illness new business master models
  • Calculated and explained impacts of implementing new pricing mortality assumptions on all new business GGY AXIS master models
  • Determined and explained in detail the driving forces of modeled projected and/or historic negative performance on target clients
  • Replicated and reconciled original pricing assumptions and profit metrics in GGY AXIS using premium tables and distribution/mortality assumptions sent from the client at time of pricing
  • Assisted in preparation of detailed presentations of analysis on target clients to be presented to upper management and lawyers

Education

Master of Financial Mathematics - MFM, M-Phimac

McMaster University
Hamilton, ON
01.2019

Honours Bachelor of Science - Actuarial and Financial Mathematics

McMaster University
Hamilton, ON
01.2016

Skills

  • Quantitative analysis
  • Risk management
  • Financial modeling
  • Statistical modeling
  • Traded products
  • Adaptiv
  • Microsoft Excel
  • Microsoft Access
  • Bloomberg
  • Python
  • VBA
  • SQL
  • MATLAB

Professional Designations

  • ASA (Associate of the Society of Actuaries)
  • CSI – CSC/CPH
  • FINRA - Series 7, Series 63, SIE
  • Machine Learning – Stanford University (Coursera)
  • DeepLearning.ai - Deep Learning Specialization

Timeline

Director, Market Risk Capital (FRTB)

BMO Financial Group
11.2023 - Current

Associate, Equity Finance

RBC Capital Markets
06.2023 - 11.2023

Manager, Counterparty Credit Risk

BMO Financial Group
11.2020 - 06.2023

Senior Financial Risk Analyst

TMX Group
12.2019 - 11.2020

Senior Quantitative Analyst, Model Validation

Sun Life Financial
04.2019 - 12.2019

Actuarial Associate

Munich Reinsurance Company of Canada
09.2017 - 07.2018

Master of Financial Mathematics - MFM, M-Phimac

McMaster University

Honours Bachelor of Science - Actuarial and Financial Mathematics

McMaster University
Joshua Beauchamp