Quantitative Analysis as a Service
Model Risk Management
Risk Advisory
Financial Technology

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About Us

The firm was built by industry-leading quantitative analysts and model risk managers to solve the problems of quantitative analysts and model risk managers. 

Designed to bring high-quality, cost-effective quantitative analysis, validation, development, and model risk advisory to the financial industry and beyond, the firm was built by “quants” for “quants”.

Our Team

Kevin Oden Managing Partner

Kevin D. Oden

Founder and Managing Partner

Kevin D. Oden, Ph.D. is the founder and Managing Partner. He has developed, validated and published in a number of modeling areas, ranging from commodity, mortgage, credit decisioning to model risk management and measurement. He actively works with the risk management community through his collaboration with the RMA as the managing director of the RMA’s model validation consortium and as the co-director of the RMA/Wharton risk management program.

Thomas Connor Chief Operating Officer and Partner

Thomas Connor

Chief Operating Officer, Partner

Tom Connor is partner and COO for KDOA. He has created, developed, integrated and managed multiple risk departments, systems, and programs during his 30+ years in the financial industry. While his early career centered on Market Risk platforms and models, his primary engagements over the past 10 years have been focused on trans-risk projects like overseeing builds on an integrated capital stress program and a large, cross-departmental credit system. Tom joined KDOA in 2019 with a focus on engendering the growth of the joint venture with RMA on its model validation consortium

Maia Berkane Head of Analytics and Partner

Maia Berkane

Head of Analytics, Partner

Maia Berkane is partner and Head of Research and Analytics for KDOA. She has more than 25 years of experience in the Banking and Finance industry.  She has led model development efforts in asset management, mortgage prepayments, market risk management and in compliance with a focus on fair lending analytics.    She has developed innovative approaches recognized as effective by the CFPB for fair lending analysis and review as well as techniques for handling missing data and regime shifts in market data analysis.  Maia holds a Ph.D. in Mathematical Statistics from Paris VI-Sorbonne. 

Modeling Experience:  fair lending analysis, mortgage prepayments, derivative pricing,  VaR

Stephen Burghardt - Full Profile

Stephen Burghardt

CTO and Partner

Stephen Burghardt  is a partner and CTO for KDOA. He has worked in the financial industry for 30+ years, including CTO at Hedge Funds and senior leadership positions at RBS and BNY Mellon. He has a background in financial engineering and systems development for Trading, Market Risk and Middle office. His financial product expertise includes Fixed Income, Futures, Derivatives and Equities.

Steve's technical background includes .NET, C#, C++, Python, SQL Server, Sybase, Bloomberg, Fincad, VMWare, Hyper-V and AWS

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Manu Maurette

Head of Operations for LATAM and Europe

Manu Maurette, Ph.D., is Head of Operations for LATAM and Europe at KDOA. After several years of research in Differential Equations he started working in Quantitative Finance and Model Risk Management. During his years as an analyst, his work mainly consisted in the validation, development, and testing of pricing and risk models including curve building and volatility surface algorithms.
For the last six years he has been leading talented teams in several areas of quant finance focused on validating and developing models. In particular, he has focused on derivatives pricing, market risk, margin, and in the last few years, qualitative and expert judgement credit models (including CECL/IFRS 9). He keeps a close bond with the academic world that includes more than fifteen years of lecturing and, in the past few years, coordinating post graduate programs and organizing quant finance regional conferences.

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Diego Alvarez

Senior Quantitative Analyst

Diego Alvarez is an economist with 10+ years of experience in the financial industry. He has been focused on the validation of market and credit risk models with recent work on CECL, home mortgage and integrated stress models. He also has experience as a market risk specialist in charge of the end-to-end process of the interest-rate Value at Risk and Expected Shortfall models. Diego has been teaching Economics since 2007 and has a BS, MS in Economics from University of Buenos Aires and University of San Andres as well as a post-graduate degree in Quantitative Finance from University of CEMA.

Diego’s current focus includes QRM, ADCO, and other mortgage-related models; credit models including credit scoring; CECL; and capital stress testing.

Greg Brozak

Greg Brozak

Senior Quantitative Analyst

Greg Brozak is a quantitative finance professional with 25+ years’ experience in developing and validating financial and risk management models across a wide range of product types and risk factors. He has broad experience in model risk management and model governance. He has led Model Development and Model Risk Teams Risk teams at large financial organizations.

Greg’s areas of model expertise include Mortgage and Credit Models, Interest Rate/ALM modelling, Stress testing, Operational and Climate Risk models. Greg also has extensive experience setting up and overseeing model governance frameworks. Greg has a PhD from Northeastern University, an MA from University of Buffalo, and a BS from Queen’s College CUNY

Estella Chu

Estella Chu

Senior Quantitative Analyst

Estella Chu has provided a broad range of risk management services to large financial institutions related to risk governance, limits setting, financial instruments valuation, risk modeling, risk reporting and Basel II/III regulatory compliance services. Estella is specialized in quantitative modeling technical and data validation applicable for market risk, credit risk and counterparty credit risk and led many projects to help client to establish sound risk management and carry out model risk management and related internal audit programs.

Estella has a BE in computer science from Shanghai Jiao Tong University and an MBA in Finance/IT from Indiana University. Her recent areas of focus include ALM, CECL / IFRS 9, credit and prepayment risk, market risk, liquidity risk, operational risk and risk weighted capital models.

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Jeison Gil

Senior Quantitative Analyst

Jeison Gil is a Senior Quantitative analyst and Manager for KDOA. He has over 10 years of experience in quantitative finance, which has been devoted to Model Risk Management, Hedging of Commodities, and Research. For the last 7 years, he has been dedicated to Model Risk Management, with a focus on Model Validation, working for Tier 1 banks in the United States and Europe.

Jeison has a BS in mathematics from Paris-Sorbonne University and an MS in financial engineering from University of Medellin. Jeison has validated a wide range of models including ALM (Empyrean and other vendor models), CECL(Abrigo), BSA/AML (Verafin and machine learning models) and various other Credit and Market Risk Models including capital stress testing.

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Manish Kumar

Senior Quantitative Analyst

Manish Kumar has fifteen+ years’ experience across the full life-cycle of model risk management for a wide range of financial institutions. He has led multiple model development, validation & consulting assignments of varied scale across model types, including credit risk, credit rating, operational risk, market risk, and stress testing. For KDOA, Manish has been particularly focused on Operational Risk models including BSA/AML and anti-fraud models utilizing machine learning and AI techniques. Manish has a MS and Ph.D in Machine Learning from the Indian Institute of Technology and a BE from Ravi Shankar University in Mechanical Engineering.

Pablo Macri

Pablo Macri

Senior Quantitative Analyst

Pablo Macri has 20+ years’ experience in the Financial Industry, Academia, and Research in Finance and Physical Sciences. In Finance, he has primarily focused on Risk Management, Risk/Derivative Pricing Systems and Machine Learning/Artificial Intelligence development. Pablo has recently led validation projects for Asset/Liability Management, Bank Secrecy Act/Anti Money Laundering and Fraud models based on Machine Learning, Artificial Intelligence, and other cutting-edge analytics. Pablo has a PhD and MS in Physics from Balseiro Institute in Argentina.

Pablo has performed validations on a number of models in BSA /AML and Fraud with deep experience with NICE Actimize and Verafin systems, Asset Liability Management (ALM), and has extensive experience in Market/Counterparty Credit Risk and Derivative Pricing models.

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Jamila Mathias

Senior Quantitative Analyst

Jamila Mathias has over a decade of experience in the financial industry focused on model risk and development for Credit Risk, Wholesale CECL compliance, Capital Stress Testing, Liquidity Management and Operational Risk models. She has led initiatives to build new platforms for Wholesale CECL implementation and Credit Stress Testing and has expanded existing risk infrastructure for Capital management. Jamila has a BA in mathematics from Spelman College and a MS, PhD from North Carolina State.

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Leonard Mills

Senior Quantitative Analyst

Leonard Mills is a Senior Quantitative Analyst at KDOA. He has over 30 years’ experience in model development and validation. Prior to joining KDOA, he worked at the Federal Reserve, Fannie Mae, Wells Fargo as well as consulting with a variety of financial institutions. He has a BS in Mathematics from Hamden-Sydney college and Ph.D in Econometrics from Tulane University.

Len has extensive experience with Credit Risk/CECL, ALM, Mortgage analytics and mortgage hedging validations as well as stress testing framework validations, including familiarity with ADCO, MCT, QRM, Moody’s analytics.

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Gaston Romeo

Senior Quantitative Analyst

Gaston Romeo has 15+ years of experience in quantitative solutions, mathematical modelling, numerical simulation, artificial intelligence, data science and programming endeavors for top tier financial institutions & global analytics companies, national councils, and scientific collaborations world-wide. He has led multiple projects within the banking industry as part of Model Validation, Corporate Model Risk and Front Office Group.

Gaston received a PhD in High Energy Physics from University of Buenos Aires working for the Large Hadron Collider at CERN as part of the ATLAS Detector in Geneva, Switzerland. Gaston’s particular areas of model expertise are Credit risk models including CECL/IFRS 9 (various vendor models), ALM, Market Risk and Stress Testing.

Associations and Certifications

Kevin is a board member and advisor to Scienaptic and encourages the use of their technology to enhance credit underwriting practices.  Kevin is also a board member of the Risk Management Association, working to further best practice in the Financial Industry.

Financial technology solutions tailored to the organization's size and complexity

Our Mission: Increase credit availability. Credit administration is handicapped by old technology. We are on a mission to change that.

To advance the use of sound risk management principles in the financial services industry.

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SOC 2 Type 2 Certification means we have a comprehensive set of security measures and practices to keep our customers’ data protected and safe

Why Choose Us

We have decades of hands-on experience in model development, model validation, and MRM. Our team also strives to provide clients with cost-effective plans to address their problems. We do this by working with the right people and organizations.

How We Can Help

Our staff will work closely with you to develop the best answers to your problem. Whether it is about understanding the advantages of AI and ML for enhanced credit underwriting or improved fraud detection, we are here to assist you.

Core Values

We are dedicated to providing our clients with cutting-edge MRM services. To achieve this, we perform extensive research, find the most appropriate partnerships and tools in order to provide the best solution.