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Overbond Leadership

CEO

Vuk Magdelinic

Before founding Overbond, Mr. Magdelinic’s career spans over 15 years in capital markets and technology. As PwC Risk and Regulatory consulting manager, Mr. Magdelinic led large digital transformation programs at Deutsche Bank and BNY Mellon in New York City. Mr. Magdelinic has played lead roles in several multi-billion dollar digitization and regulatory reporting programs at top tier financial institutions in the United States, Canada, United Kingdom and Caribbean. Over the course of his career Mr. Magdelinic has had extensive experience leading teams in strategic risk and compliance transformation, shared services implementation for financial institutions, impact assessment, operational target state development, governance structure development and regulatory driven change.

Mr. Magdelinic led the team of 30 consultants in development of the Shared Services Model for enterprise wide Regulatory Reporting Program staffed with 300+ client employees for a large financial institution. Mr. Magdelinic assisted the client in Product Matrix Review against US regulatory requirements formulating key business impact and change management strategy for complex Fixed Income derivative structures.

As an engagement lead, leveraging industry best practices and subject matter experts from UK, US and Canada Mr. Magdelinic guided large capital markets dealer in design of their risk metrics control and governance structure with respect to Volcker Rule requirements. Mr. Magdelinic led a team of consultants and implementation engineers in development of the Future State Architecture and Target Operating Model for strategic integration of front and back office workflow functions realizing key cost benefits.

Prior to PwC, Mr. Magdelinic worked at CIBC Fixed Income trading floor in Toronto in structured products origination capacity. Mr. Magdelinic modeled and priced exotic risk and structured fixed income investments for institutional, corporate and retail investors. Mr. Magdelinic delivered attractive risk adjusted returns that raised over 300 million dollars. During his tenure at CIBC, Mr. Magdelinic also spearheaded and led development of high-frequency booking platform, incorporating process engineering models, with streamlined operation for OTC trading to utilize internal books risk offsetting, manage liquidity, optimize term funding and credit exposure.

Mr. Magdelinic has collaborated on numerous publications addressing key trends in fintech innovation. Mr. Magdelinic mentors entrepreneurs at Founders Institute and Tech Stars programs in Toronto and New York. Mr. Magdelinic holds Electrical Engineering degree from University of Toronto, MBA from Ivey School of Business and is an avid skier and abstract painter.

Director of Global Sales

Andrew Zippan

Andrew is responsible for Overbond’s global sales initiatives across North America, Europe, and Asia. He is focused on expanding the sales funnel as well as initial client engagement.

Andrew has an extensive background in credit risk/fixed income analytics and default risk, where he was a Managing Director of a large US based credit risk analytics provider. There, he was responsible for expanding the North American client base. In that role, he worked with various hedge funds and asset managers on both the sell and buy side to help them implement different facets of credit risk analytical tools and default probability models. Prior to that, he worked in the Energy Trade/Commodity Trade Risk Management space for one of the largest software providers in the world, helping corporate clients manage their risk exposure more effectively and efficiently. He also has an extensive background in the FX hedging space, helping corporate clients to manage their FX exposure through various hedging tools.

Andrew holds a Bachelor of Arts degree from Western University and has completed his CSC designation as well as a Series 3 designation.

Sales Manager

Ken Molnar

Mr. Molnar is responsible for Overbond’s global sales growth across North America, Europe, and Asia. He is focused on expanding the sales funnel as well as initial client engagement.

Prior to joining Overbond, Mr. Molnar spent 30 years on the Sales, Trading and Management side of the Fixed Income Capital Markets business, both buy-side and sell-side. He was responsible for identifying, coordinating, and executing new business opportunities with Tier 1 and Tier 2 institutional trading desks worldwide. Mr. Molnar was also responsible for developing and maintaining trading relationships with all the primary and regional sell-side brokers in the fixed-income dealer markets.

As an individual who takes initiative, Mr. Molnar is always looking for ways to streamline and refine sales workflows for himself and for his team members. Along with his experience in sales, Mr. Molnar brings with him extensive capital markets knowledge that he uses to inform clients on fixed-income market trends. He demonstrates passion towards global macro trends, fixed income markets, and trading technology tools.

Mr. Molnar holds a Bachelor of Science degree in Business Finance and Economics from Illinois State University. He continues to hold FINRA Series 7, FINRA Series 63 and FINRA Securities Industry Essentials Exam (SIE) licenses. He is proficient in many of the tools currently used by industry professionals including Bloomberg, MarketAxess, TradeWeb and many more.

Product Director & Account Manager

Rajiv Kaushal

Mr. Kaushal is responsible for core firm product leadership and account management at Overbond. He works in close collaboration with sales and marketing and directly with the data science and engineering teams. With over 10 years of experience working in capital markets and consulting, he has helped lead many large-scale transformational initiatives.

As a product director, Mr. Kaushal will be managing implementation efforts by focusing on the firm roadmap. He will play a pivotal role in ensuring the development and delivery of Overbond’s AI Fixed Income product suite by working extensively with in-house subject matter experts and managing product and development teams. He will also oversee data partner relationships and vendor integrations.

Mr. Kaushal brings specific expertise in these core areas, applying industry best practices to ensure efficient and timely delivery of new work packages. Prior to Overbond, Mr. Kaushal worked with both Canadian & U.S. banks on various regulatory driven programs and enterprise level digital transformation implementations. Mr. Kaushal has led small teams of consultants, business analysts and QA’s to enhance legacy risk reporting architecture and aided in the development of regulatory compliant modules for hedge-effectiveness testing. Mr. Kaushal helped interpret, document and design new workflow for the Structured Notes trading business, in alignment with IAS 39 standard. Using custom built models, he created test plans and scripts to test Risk-Weighted Assets (RWA) calculation functionality, using the IRB approach. Mr. Kaushal has helped produce whitepapers on the pricing of digital assets, working directly with a Canadian based digital asset data provider. Most recently, he directly managed client accounts and oversaw the deployments of leading CPM and AI Audit solutions for the enterprise.

Product Director & Account Manager

Jerry Su

Mr. Su is a Product Director & Account Manager with over 12 years of experience working in the Financial Industry spanning across capital markets, asset management, retail banking and consulting, he has led many transformational initiatives from start to finish. At Overbond, he will be responsible for product design, product enhancements, managing client deliverables and client relationships.

Data Science and Engineering

Seyed Nabavi

Mr. Nabavi is Data Science Director and Engineering Leader with over 10 years of advanced AI/ML modeling and implementation experience. Mr. Nabavi brings to Overbond extensive experience in building enterprise software products and the passion for innovation, team building, and technology leadership.

Mr. Nabavi is responsible for applying statistics, machine learning, deep learning and big data techniques to develop predictive analytics business solutions for financial services and capital markets. Mr. Nabavi is leading data science and engineering implementation at Overbond and is responsible for both model development and technology operations. Mr. Nabavi manages Overbond diverse API data-intake connections with public and private data sources required for data science applications.

Mr. Nabavi brings specific expertise in leading database design and architecture using state-of-the-art technologies and back-end system architecture standards to develop proprietary time series queries and on-demand elastic delivery to the Overbond machine learning modelling engine output.

Prior to Overbond, Mr. Nabavi led research and development at the leading AI start-up where he analyzed, built, tuned and deployed Crypto-Currency Market Capitalization forecasting model and achieved more than 96% accuracy of the actual price by analyzing market capitalization volatility and applying most advanced machine learning, deep learning, and recurrent neural networks (RNN). Mr. Nabavi also built and deployed advanced fraud predictor that successfully achieves 96% recall score within highly imbalanced data set by using data exploration, applied statistics, and ensemble of machine learning algorithms, including random forest, logistic regression, SVC classifier, and KNN classifier. Apart from these applications Mr. Nabavi has also deployed numerous accurate prediction models for telemarketing campaigns in cyber-space using exploratory data analysis and advanced decision tree modeling.

Prior to this, Mr. Nabavi led research and development team in the advanced commercial application as Lead Researcher Scientist at University of Ottawa where he developed and tested novel statistical algorithms (Polynomial Chaos, Stochastic Testing, Monte Carlo) to efficiently quantify uncertainties in radio frequency systems using Python, Pandas, SQL, MATLAB, Matplotlib in Ubuntu Linux environment. Mr. Nabavi also performed descriptive and inferential multivariate statistical analysis to obtain accelerated insights and compare newest machine learning algorithms with the traditional approaches. Further to this, Mr. Nabavi researched, developed and tested a hybrid mathematical model order reduction algorithm to reduce memory consumption and computational cost applying harmonic balance simulation technique.

Mr. Nabavi holds a Master’s degree in Electrical and Computer Engineering from the University of Ottawa and a Master’s degree in Electronics Engineering from Azad University.

Data Science Director

Henry Hong

Mr. Hong is Data Science Director at Overbond with over 10 years of experience in building statistical and machine learning model. Mr. Hong is proficient in translating business and functional requirements into optimal solutions using quantitative skills.

Mr. Hong is a highly motivated data scientist armed with vast experience in data cleansing, feature extraction and statistical/machine learning model construction. He is creative in finding solutions to problems and providing optimal solutions with the ability to deliver information in a clear and efficient way in high-pressure environments without compromising accuracy and quality of work.

As a Data Science Director, Mr. Hong is in charge of the architecture, integration and analysis of large data sets used for developing machine learning models and generating business insights. Mr. Hong utilizes latest statistical, machine learning, and predictive analytics techniques to transform unstructured data to creative solutions at Overbond.

Prior to Overbond, Mr. Hong worked as data scientist at State Street where he was responsible for developing predictive models for liquidity cost (spread) and volume of fixed income transactions. He employed machine learning algorithms such as boosting based on Hadoop platform to identify a pattern of transactions in collaboration with data engineering team. He built various data pipelines using pySpark and hive to process large volumes of data sourced from vendors such as Bloomberg to feed inputs to daily prediction models.

Mr. Hong also worked in major financial institutions as risk analyst. He implemented net cash flow forecasting model given the idiosyncratic and macro-economic scenarios. Mr. Hong holds a MBA from University of Rochester and Master's degree in Architecture Engineering from Hanyng University. He is currently pursuing Master of Computer Science degree at Georgi Institute of Technology



Data Science and Models Implementation

Hanna Xiao

Ms. Xiao is a data scientist at Overbond having four years experience working in different financial institutions developing cutting edge machine learning algorithms. Ms. Xiao has worked with various technologies (Python, SQL, MATLAB, R) in these roles finding ways to automate trading desk processes and creating new tools to Ms. Xiao is an avid learner and worked on projects extracting sentiment from twitter, earnings call, management discussion and analysis from company filings and applying it to predict change in stock price.

Prior to Overbond, Ms. Xiao has worked on the buy-side and sell-side trading desks at major financial institutions focusing on credit, derivatives and counterparty risk. Ms. Xiao leveraged the existing pre-trained XLNet and BERT models then performed additional training on financial terminology and applied this trained model to classify sentiment.

Ms. Xiao holds a Bachelor of Mathematics degree from the University of Waterloo and a Bachelor of Business Administration degree from Wilfrid Laurier University. Ms. Xiao is currently in the progress of completing a Master’s degree in Computer Science from the University of Texas at Austin.

Ms. Xiao has also completed all three levels of the CFA Program.

Engineering Manager

Rishi Jiwrajka

Mr. Jiwrajka is responsible for managing the engineering team at Overbond; working in close collaboration with Product, Risk, Research, Data Science, Sales and Marketing teams to build and deliver quality industry leading engineering processes and solutions at Overbond.

Prior to joining Overbond, Mr. Jiwrajka has managed software development teams and led the design and development of enterprise wide data and analytics platforms as well as operationalizing the concept of 'Data as a Product' for several North American banks and top consulting firms. Mr. Jiwrajka has a zeal to develop products keeping in mind the end users/customers and businesses and is very passionate about learning the business side of things to determine most appropriate engineering solutions.

With ever evolving and changing technology landscape, he keeps himself abreast of emerging technologies by constantly collaborating with industry experts and continuously educating himself.

In his spare time, Mr. Jiwrajka likes to remain active and is a sports enthusiast. Mr. Jiwrajka is also an active contributor and volunteer in various NPOs and charities. Mr. Jiwrajka holds a Bachelor of Applied Science in Computer Engineering degree from University of Waterloo.

Fixed Income Valuation and Risk

Tim Self

Mr. Self is responsible for new and existing fixed income product development at Overbond, working in close collaboration with the sales & marketing, data science and engineering teams. Mr. Self brings a combination of overall market experience and quantitative skills developed, mastered and employed over the course of his career in his role as fixed income product expert for Overbond.

Mr. Self has many years of capital markets experience, covering both buy- and sell-sides of the investment spectrum. A large portion of this was that of a highly visible rates strategist for a number of Canadian investment dealers, including CIBC World Markets, TD Securities, and Burns Fry Limited. His approach to the overall investment process as a combination of top-down fundamentals and bottom-up quantitative.

Core to such responsibilities was an understanding of economic fundamentals driving market performance, the identification of market themes and trends, the associated risks, and the construction of an evolving strategic view and generation of tactical trade recommendations in both cash and derivatives.

Mr. Self spent over two years with Algorithmics in a period covering the financial crisis, focusing on market risk measurement, as well as optimization-based portfolio replication for the insurance industry. Mr. Self‘s background in fixed income portfolio management, trading, and other risk taking includes several years as Assistant Portfolio Manager at Investors Group in Winnipeg, and a partnership at Cornerstone Capital Partners, a G10-focused global macro hedge fund. At Investors Group, Mr. Self was very much involved in the management of corporate interest rate risk through the introduction and employment of financial derivative strategies, as well as the reporting on the effectiveness of these to key stakeholders. Mr. Self has international rates experience, having worked in Germany as rates strategist.

Mr. Self holds a Bachelor of Arts – Economics degree from the University of Manitoba, with both Chartered Financial Analyst (CFA) and Professional Risk Managers (PRM) designations.

Fixed Income Research Analyst

Mahmoud Ech-cheikh

Operating in a cross functional collaboration structure, Mr. Ech-cheikh is responsible for Fixed Income research at Overbond. Mr. Ech-cheikh brings with him a combination of Tech, Banking, Insurance and Financial markets experience.

Prior to joining Overbond, Mr. Ech-cheikh was overseeing the profitability of a 12B$ commercial lending portfolio as well as the pricing commercial deposits and loans at Laurentian Bank Financial Group where he has also contributed directly to the development of credit risk models and treasury management techniques. Mr. Ech-cheikh has worked in the Canadian Hedge fund and Market making industry before funding his Startup in social media marketing and launching a prop trading firm.

Mr. Ech-cheikh holds a Bachelor of Business Administration degree from HEC Montreal and is currently a CFA level 3 and FRM level 2 candidate.

Credit Pricing and Systematic Market Research

Julius Mathias

Mr. Mathias is a credit pricing and market research expert with over 15 years of experience in capital markets, DCM corporate bond underwriting and research. Mr. Mathias developed and maintained models for CPI, WPI and GDP forecasting, systematic research signalling and market surveillance for central bank policy action outlook. Analyzed sensitivity impact on euro-area economy with specific focus and model hyper-tuning with respect to outlook for the rates market-forecasting.

Prior to Overbond, Mr. Mathias advised clients on new issuance opportunities at one of the leading global banks. Managed Debt Capital Markets–Investment Grade Bonds coverage and structuring & financing of several individual bond transactions, such as Vodafone dual tranche Euro deal, McDonald’s triple tranche dual currency deal, Imperial Tobacco bond deal, GMF debut Euro deal, Priceline debut Euro deal and more.

Mr. Mathias established macro-economic analysis methodology of EMU-10 economies with key focus on developing trading strategies for Govvies and rates, measured sensitivities and correlations to credit markets. Mr. Mathias deployed a computationally efficient multivariate statistical model (Decoupled Polynomial Chaos) to quantify uncertainties in macro variable economic state sensitivity to credit bond pricing movements and established PCA hierarchy to optimally apply sector specific clustering.

Also, Mr. Mathias exploited Neural Networks and Deep Learning in establishing architecture for fixed income data intake and data normalization for systematic monitoring of bond price momentum.

Mr. Mathias hold’s a Bachelor degree in Science from Narsee Monjee College and is a certified Chartered Financial Analyst (CFA).

Lead Full Stack Engineer

Khyati Chandak

Ms. Chandak is a seasoned software engineer with expertise in the design and web development. Currently Ms. Chandak is responsible for maintaining Overbond’s existing suite of digital products, while also leveraging new tools to expand the scope of many existing features.

Ms. Chandak leads the full stack development team in the integration of external data sources with internal platforms. This involves transforming, storing and ultimately displaying data in a value-added manner for consumption by financial experts. Prior to Overbond, Ms. Chandak worked various technologies to optimize web application performance and improve code test coverage at a Home automation company.

Ms. Chandak has also worked as a professor delivering lectures on different programming languages and software engineering concepts.

Ms. Chandak holds a Master’s degree in Applied Computing from the University of Windsor and has completed her Bachelor’s degree in Computer Engineering.

Full Stack Engineer

Vamsi Gamidi

Mr. Gamidi is a full stack engineer at Overbond having over 2 years of experience in developing and delivering quality enterprise software. Mr. Gamidi is a passionate programmer and is always curious to learn new technologies to provide effective solutions to demanding real-world needs.

Mr. Gamidi has experience with technologies such as React JS, Node JS, AWS, Google Cloud, Python, C#. Prior to Overbond, Mr. Gamidi has worked at Aveva Solutions and played an important role in developing various new features and improving the performance of a data-intensive enterprise application.

Mr. Gamidi holds a Master’s degree in Applied Computer Science from Dalhousie University and a Bachelor’s degree in Computer Science from Gitam University.

People and culture

Teena Joshua

Ms. Joshua is an experienced Human Resource Specialist with a demonstrated history of working in the information technology and services industry. Ms. Joshua has worked extensively in the Human Capital Consulting and Learning & Development functions and managed global delivery of talent initiatives to enhance organizational culture and launched Corporate Social Responsibility initiatives at a national and international level. Ms. Joshua manages the talent acquisition and talent management at Overbond inclusive of all Overbond Co-op and Internship campus recruiting programs. Prior to Overbond, Ms. Joshua worked on the strategic implementation of HR Transformation at a management consulting firm to integrate and build global employee performance enhancement projects.

In this role, Ms. Joshua redesigned the total rewards and recognition system to improve the employee productivity index. Ms. Joshua manages employee relations and promotes performance initiatives at the group and individual levels to drive a high performing and collaborative culture and ensure performance management policies and practices are being followed including facilitating employee reviews. In addition, Ms. Joshua maintains business processes as systems continue to evolve in order to support the requirements of a fast-growing firm.

Ms. Joshua holds a Bachelor’s degree in Information Technology from Anna University and completed her post graduation in Human Resource Management.


Overbond Advisory Board

Grace Schalkwyk

CEO, Gramercy Digital Strategy Advisors

Grace has deep domain expertise in the financial services and information industries. Based in New York, she advises emerging technology companies on business strategy and revenue development, and develops new business ideas. From 2001 to 2009, she led Standard and Poor’s global credit information and data business to 22% annual growth, from $50 million to $200 million over 8 years. Previously, from 1999 to 2001, she was Chief Financial Officer at Artnet.com, a German-American company serving the fine art sector. From 1996 to 1998, she was the Vice President of Business Development at Reuters America, where she extensively surveyed financial technologies and market data opportunities. She was an investment banker at Credit Suisse (First Boston) from 1983 to 1995, originating and executing 100 transactions including fixed income, equity, IPO, project finance, acquisitions, divestitures, and privatizations for Canadian and US companies.

Earl Davis

Former Director Fixed Income, Currencies and Commodities (FICC) at Ontario Teacher Pension Plan, former Vice President and Director, Fixed Income STIR Trading at TD Securities

Earl is an industry leader, trader and fixed income expert with 25 years experience in the financial services industry. Earl headed Fixed Income Trading for Ontario Teacher Pension Plan for 11 years. Previously to Teachers Earl held senior positions within the TD Securities. Earl draws upon his financial markets trading experience, along his deep technology and market infrastructure knowledge I his advisory role with Overbond R&D Labs evangelizing new bond pricing models and new applications of AI models in fixed income industry.


Dave Tersigni

Former Managing Director Senior Term Funding and International Money Market Funding at Scotiabank

At Scotiabank Dave lead an international team with operations in London, New York, Toronto, and Singapore. The Funding team managed by Dave was responsible for Scotiabank’s unsecured funding operations through the entire yield curve, overnight and beyond. In addition to his unsecured funding mandate, Dave was also responsible for the execution of Scotiabank’s Covered Bond issuance. Dave has more than 30 years of experience in International Debt Markets and a life-long interest in trading system development.


Alvin Burgos

Former Head of US Fixed Income Sector Management Trading at DWS Group

At DWS, Alvin led a team that included 14 investment professionals focused on Fixed Income and FX markets, which consisted of providing execution for the global platform (Active, Passive and Alternative strategies) in Credit ($34bn annual turnover), Rates and Derivatives ($90bn annual turnover), FX ($120 bn annual turnover) and MBS ($36 bn annual turnover). Alvin has held senior fixed income positions at several Wall Street financial institutions since late nineties and continues to lead industry wide adoption of cutting-edge technologies and predictive analytics algorithms in fixed income trading.