Bank of America is one of the world’s leading investment banks where one of our focus’s is on quantitative finance. Our Quantitative Teams specialize in the application of mathematical and statistical methods; such as numerical or quantitative techniques, to financial and risk management.
At Bank of America, models are used for a broad range of activities, including but not limited to valuation, risk management, capital and liquidity planning, stress testing, underwriting and other strategic or day-to-day decision-making purposes. Bank of America recognizes the risk and uncertainty associated with the use of its models and the need to effectively manage this risk both at an individual level and in the aggregate.
A career in quantitative analytics at offers team members the potential to work across multiple businesses, product areas and asset classes – a dynamic career trajectory within a single firm. From a quantitative career perspective, consider the following important areas of work and examples of interesting opportunities we offer: identifying and quantifying risks, forecasting the evolution of risk drivers, developing behavioural and valuation models, performing strategic analyses for decision support, implementing models and processes, validating and testing models and strategies, managing data for strategic value, visualization of data & analytics and Implementing strategic communication strategies and approaches.
Bank of America’s strategy is to grow responsibly by being customer-driven, managing risk well, and delivering for our shareholders. This requires great people, with supporting development programs and a dedication to being a great place to work.
The Artificial Intelligence Finance Institute’s (AIFI) mission is to be the world’s leading educator in the application of artificial intelligence to investment management, capital markets and risk. We offer one of the industry’s most comprehensive and in-depth educational programs, geared towards investment professionals seeking to understand and implement cutting edge AI techniques.
Taught by a diverse staff of world leading academics and practitioners, the AIFI courses teach both the theory and practical implementation of artificial intelligence and machine learning tools in investment management. As part of the program, students will learn the mathematical and statistical theories behind modern quantitative artificial intelligence modeling. Our goal is to train investment professionals in how to use the new wave of computer driven tools and techniques that are rapidly transforming investment management, risk management and capital markets.
Quantitative finance is moving into a new era. Traditional quant skills are no longer adequate to deal with the latest challenges in finance. The Machine Learning Institute Certificate offers candidates the chance to upgrade their skill set by combining academic rigour with practical industry insight.
The Machine Learning Institute Certificate in Finance (MLI) is a comprehensive six-month part-time course, with weekly live lectures in London or globally online. The MLI is comprised of 2 levels, 6 modules, 24 lecture weeks, lab assignments, a practical final project and a final sit down examination using our global network of examination centres.
RStudio helps people understand and improve the world through data. We build tools that enable robust and reproducible data analysis through programming, paired with tools that make it easy to share insights. Our core software is open source, freely available to anyone. Our professional software equips individuals and teams to develop and share their work at scale.
MoCaX Intelligence is a new-to-the-market algorithm that accelerates existing Risk Engines without the need for complex systems development or expensive hardware upgrades. MoCaX removes the pricing step bottle-neck that often uses over 90% of computational effort in existing engines and increases capabilities by several orders of magnitude with no loss of accuracy.
MoCaX builds on the new Algorithmic Pricer Acceleration (APA) and Algorithmic Greeks Acceleration (AGA) methods. APA synthesises your existing pricers and creates an accelerated version of them. Even your very slowest and complex pricer, passed through MoCaX, will return the same results (down to 10-15 precision) ultra-fast (up to a few nanoseconds). For example, this enables highly accurate Monte Carlo within Monte Carlo in an instant.
AGA is a further enhancement, creating also an ultra-accurate, ultra-fast function of the Greeks of your pricers, even when you do not have an expression for them. This enables for example exact MVA and MVA sensitivity calculations.
APA and AGA work for any pricing function: analytical, tree or MC based; and with any asset class.
With one million accurate Price or Greek values in a few milliseconds, MoCaX delivers:
- massive acceleration of your current simulations
- previously-impossible simulations, e.g. accurate and ultra-fast MVA via real Dynamic SIMM
- potential for trades that had been too slow to simulate, e.g. non-linear products, barriers, bermudans
- enhanced regulatory approval, because MoCaX delivers perfect pricing and widens IMM product scope
MoCaX Intelligence: the next step forward.
Please ask for a free version of MoCaX so you can test it for yourself.
The Numerical Algorithms Group (NAG) are experts in numerical algorithms, software engineering and high-performance computing. They have served the finance industry with numerical software and consulting services for over four decades because of their outstanding product quality and technical support. Specifically, relevant to the finance industry, NAG pioneer in the provision of the NAG Library – numerical, machine learning and statistical components ideal for building Quant Libraries, Risk Applications and the like.
NAG also provides best-in-class C++ operator-overloading AD tools for CPU and GPU called dco (derivative computation through overloading) and dco/map (dco meta adjoint programming). The NAG Library and AD tools are used by many of the largest Investment Banks where they are embedded in Quant Libraries and XVA applications. As a not-for-profit company, NAG reinvests surpluses into the research and development of its products, services, staff and its collaborations. www.nag.com
QWAFAFEW is an informal organization of quantitatively oriented professionals in various aspects of financial services, primarily investment management.
The members span the gamut from owners and senior executives of investment related organizations to recent entrants to the industry. Most attendees have some technical training beyond the M.B.A. level, and many have Ph.D.s All share a common interest in quantitative solutions to understanding investment markets.
Please visit www.qwafafew.org for more information.
The Thalesians are a think tank of dedicated professionals with an interest in quantitative finance, economics, mathematics, physics and computer science, not necessarily in that order.