Quantitative Derivatives Pricing and Risk Modeling

Master key analytical and decision-making skills in just six months, and elevate your career 

The financial services industry has been experiencing a profound transformation, marked by regulatory reforms and structural changes, as well as an unprecedented surge in market complexity. These developments have significantly impacted companies and their workforce requirements. 

By joining this program, you will dive beyond basic concepts into advanced derivatives and risk concepts through real-world examples, self-guided exercises, and live facilitated sessions through The Center for Technology Management and Digital Leadership at Northeastern University by Acadia leadership and other industry experts. You will be empowered with unique and practical experiences by working closely with and contributing to the Open Source Risk Engine (ORE), an industry-leading software toolkit used in production by several large banks, hedge funds, and asset managers, facilitated by ORE’s authors at Acadia, a renowned global technology, quantitative finance and consulting firm and acquired by the London Stock Exchange Group (LSEG). Upon completion of the program, you will receive a Northeastern University badge that reflects the rigor of your experience. 

Why join the Quantitative Derivatives Pricing and Risk Modeling program with Northeastern and Acadia? 

Gain a competitive edge: 

In just 8-12 hours a week over 8 months, you will gain hands-on experience and a deep understanding of quantitative finance concepts. Our program is ideal for professionals with basic quantitative finance, risk management, and financial modeling experience, and some knowledge of C++ and/or Python. 

Experience the Power of ORE:

Our program leverages the industry-leading Open Source Risk Engine (ORE) – a free/open source platform for pricing and risk analytics of traded instruments, providing contemporary market and credit risk analytics that meet post-2008 heightened industry requirements. Alongside real-world risk practitioners, you’ll explore the contextual and regulatory drivers of analytics, gaining insights that no other program offers. 

Expand your network and make immediate impact: 

Join a cohort of quantitative analysts, financial engineers, risk managers, and more who will lead the derivatives market. You will leave the program with specialized skills that answer financial questions through mathematical models, use asset-class specific models to carry out relevant analysis, and implement results based on advanced methods 

The Northeastern/Acadia Collaboration: 

By leveraging their global network of industry leaders, the Center for Technology Management and Digital Leadership exemplifies Northeastern University’s commitment to unique lifelong learning opportunities and industry collaborations. You’ll benefit from the combined expertise of Acadia senior leaders, ensuring a well-rounded and transformative learning experience. 

What you can expect:

  • Cohort begin on September 16, 2024. Dates TBD for future cohort starts. 
  • A flexible 8-12 hour weekly commitment over 8 months. 
  • Six 4-week modules, allowing for in-depth exploration of each topic. 
  • Online guided videos and exercises for flexible learning. 
  • Weekly live, interactive sessions with Acadia senior leaders, offering invaluable insights and support. 
  • Interviews, examples, and case studies from current professionals, providing real-world perspectives. 
  • Networking opportunities with peers, experts, and Acadia leadership, expanding your professional circle. 
  • Earn 6 module badges for your career-advancing achievement. 
  • A highly interactive and intensive non-credit, non-degree program. 

 

About the Lecturers:

Scott Sobolewski

Co-Head: Quantitative Services, Acadia

Scott is a risk and finance professional specializing in capital planning, stress testing, derivatives pricing, and model development at large US banks. He advises financial institutions on risk management and regulatory compliance matters, helping clients accelerate development timelines and achieve high-value institutional objectives. Scott has extensive experience meeting Dodd Frank deliverables and managing regulatory relationships with the Federal Reserve, OCC, FDIC, and others through prior roles at Citigroup and Santander US. He holds a B.A. in Mathematics and Economics with Honors from Williams College, as well as active Chartered Financial Analyst (CFA) and Certificate in Quantitative Finance (CQF) qualifications. 

Roland Lichters

Co-Head: Quantitative Services, Acadia 

Roland is Co-Head of Acadia’s Quantitative Services division. Prior to Acadia’s acquisition in 2021, he was Co-Founder and CTO of Quaternion Risk Management. Roland has headed Risk and IT departments for over ten years in the banking industry – building teams, processes, pricing/risk methodologies, and systems. Roland is responsible for R&D and focuses on the company’s pricing and risk analytics products, the development of industry-wide risk services, the Open Source Risk project (www.opensourcerisk.org), and propagates the application of Open Source Risk Engine in the industry as a standard model validation tool and core part of risk production systems. Roland holds a Ph.D. in Physics, has been lecturing part-time in Financial Engineering at Trinity College Dublin for five years, and is co-author of various publications, including the book “Modern Derivatives Pricing and Credit Exposure Analysis,” Palgrave Macmillan, 2015. 

Roland Stamm

Partner: Quantitative Services, Acadia

Roland Stamm is a senior IT and Risk Management professional with extensive experience in wholesale banking management positions. As a Head of IT development, Roland was responsible for the enhancement of the capital markets products system. As Head of Market Risk Products, later Risk Methods and Valuation, he focused on market and credit risk methodology as well as the pricing and risk management of complex financial products. As a partner at Quaternion, Acadia’s Quant Services division, he is responsible for delivering projects in the quantitative market and credit risk space. Roland complements this work with research in the Mathematical Finance area. Roland holds a Ph.D. in Mathematics from the University of Muenster and a primary degree in Mathematics from the University of Mainz. He is co-author of the books “Discounting, LIBOR, CVA and Funding” (with Chris Kenyon) and “Modern Derivatives Pricing and Credit Exposure Analysis” (with Roland Lichters and Donal Gallagher). 

Program Modules: 

 

For Individuals: 

Embrace a competitive advantage in the quantitative finance derivatives risk management job market – a high-potential and high-demand niche in the financial industry. Our program equips you with specialized skills that make you a sought-after asset for top financial institutions. 

For Companies: 

Are you facing a scarcity of qualified professionals within your organization? Position yourself to grow and thrive in this lucrative market by sponsoring your employees in our program. Investing in your teams will empower them with the specialized skills necessary for success, fostering growth and stability within your organization.

Tuition: 

The regular tuition for the program is $10,000. Contact us about special corporate rates for groups of students per cohort. 

Secure Your Spot Today: 

Advance your career and develop unique skill sets and expertise to navigate the quantitative finance derivatives risk management domain. Reserve your spot using the form link below. 

Program Start Dates: 


September 16, 2024
 

Future cohort dates TBA for 2025 and 2026