Corporate Investment Quantitative Finance Analyst

Job Description:
The Strategic and Asset Liability Management Group within Bank of America is seeking a quantitative analyst to join our Quantitative Finance (QF)team. QF uses quantitative techniques extensively, and is staffed by mathematicians, statisticians, and programmers that apply quantitative methods to risk management of Bank of America’s investment portfolio. QF designs and implements a suite of complex valuation tools and models. These models drive the valuation of mortgage servicing, mortgage-backed securities and whole loan portfolios. Additionally, QF provides analytics for a wide range of processes, including: trading decisions, primary mortgage pricing and rate setting, loss forecasting, business strategy and ad hoc financial decisions at the highest level of the Bank.

This role will provide an opportunity to learn the QF analytical platform as well as advanced model development techniques. The candidate will join the Quantitative Finance team and will collaborate with Senior Model Developers on model development and assist with testing and documentation.

Required Skills

Advanced degree in a Quantitative field

LaTex experience

Experience with or academic exposure to statistics, time series analysis, financial theory, derivatives pricing, stochastic calculus and other quantitative analytical techniques

• Ability to analyze complex quantitative theory and code and organize into a comprehensive documentation package subject to independent review

Excellent writing skills; management-level presentation preparation

Understanding of economic and financial markets

Strong attention to detail

Ability to work well in a cooperative environment, time-sensitive, market-driven environment

Ability to manage multiple priorities with minimal supervision

Ability to work individually and with the group on complex problem solving; analytical skills, critical thinking and a strong desire to learn

Desired Skills

• Experience in the mortgage or credit industry, is preferred
• Experience with C++, Python, R, or Perl in a UNIX/LINUX environment
• Expertise using Microsoft Office

Shift:
1st shift (United States of America)

Hours Per Week:
40