David K.A. Mordecai, President of Risk Economics, participated in Demo Day 2023 for FinTech Innovation Lab (FTIL) on June 22, 2023, as Scientist-in-Residence for FTIL. FTIL is an accelerator platform for early and growth stage technology firms, organized by the Partnership Fund for New York City, in conjunction with Accenture and a consortium of venture capital firms and global financial institutions.
As Scientist-in-Residencefor FTIL, Dr. Mordecai is one of seven Executives-in-Residence who are part of the FTIL Mentors Network, which is comprised of over 30 seasoned entrepreneurs who have successfully launched and scaled a financial technology company to acquisition or IPO. Members of the Network serve as mentors and informal advisors for companies accepted into FTIL, providing guidance on the broad range of issues faced by senior management of financial technology (FinTech) companies.
Applicants to FTIL are required to have at least a working beta version of their technology that is ready for testing in either the institutional or retail market. The Chief Technology Officers from the 40 supporting financial institutions and venture capital firms selected the ten Fintech companies participating in the 2023 cycle, which included 55/Redefined, Jaid, Breakthru, Billy and Lab1.
About Risk Economics, Inc.
Risk Economics specializes in economic analysis of risk and liability. It provides advisory services at the intersection of commercial business-process engineering and risk engineering with a particular focus on coupling commercial reinsurance and financial technology, through the rigorous application of agent-based, demographic, and statistical methodologies to microeconomic and macroeconomic analysi. The Risk Economics® client roster is diverse and includes governmental and quasi-governmental agencies, global insurance and reinsurance firms, leading law firms, technology firms, global banking institutions, asset management firms, multinational corporations with interests in natural resources, commodities, and energy, as well as government agencies and regulators. For additional information, please visit https://riskeconomicsinc.com/.
David K.A. Mordecai, President of Risk Economics, participated in Demo Day 2022 for FinTech Innovation Lab (FTIL) on June 24, 2022, as Scientist-in-Residence for FTIL. FTIL is an accelerator platform for early and growth stage technology firms, organized by the Partnership Fund for New York City, in conjunction with Accenture and a consortium of venture capital firms and global financial institutions.
As Scientist-in-Residence for FTIL, Dr. Mordecai is one of eight Executives-in-Residence for the FTIL Mentors Network. The FTIL Mentors Network is comprised of over 30 seasoned entrepreneurs that have successfully launched and scaled a financial technology company to acquisition or IPO. Members of the Network serve as mentors and informal advisors for companies accepted into FTIL, providing guidance on the broad range of issues faced by senior management of financial technology (FinTech) companies.
Applicants to FTIL must have at least a working beta version of their technology that is ready for testing in either the institutional or retail market. The Chief Technology Officers from the 40 supporting financial institutions and venture capital firms selected the current set of participants for the 2022 cycle, which included the following:
Coverforce (New York) – “which partners with national property and casualty carriers to standardize their distribution application programming interfaces (APIs) and build customized platforms for Independent Agency Networks, strengthening the carrier/agency relationship.”
Draivn (Den Haag, Netherlands) – “whose platform collects data from any telematics or internet of things devices that transportation fleets are equipped with and converts it into real-time analytics for fleet insurers and brokers.”
Evercity (Berlin) – “whose blockchain-based sustainability measurement and investment platform automates issuance, management and monitoring of sustainable finance.”
Ion Channel (Alexandria, Virginia, USA) – “whose software supply chain management platform identifies and monitors third-party security risk from software suppliers (vendors, outsourced app developers, contractors, and open source).”
LeapXpert (New York) – “whose platform creates an accessible digital record of all business interactions carried out over mobile messaging applications, giving organizations peace of mind that their data will be secure and meet compliance requirements.”
Mark Labs (New York) – “whose AI/ML stewardship platform helps asset managers define impact metrics, engage with investors and portfolio companies, and link their capital allocations to the pursuit of real-world environmental, social, and governance outcomes alongside targeted financial returns.”
Messari (New York) – “whose market intelligence platform provides in-depth crypto market research, analysis, data, diligence tools, and more for crypto business professionals.”
Railz (Toronto) – “whose API provides financial institutions and fintechs with instant, real-time access to their business customers’ financial data from different sources (accounting, banking, tax, e-commerce) to make better data-driven decisions.”
Straylight Systems (New York) – “whose AI solution automatically creates secure software code that is trustworthy and reliable.”
About RiskEcon® Lab @ Courant Institute
The mission of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management in the public interest. RiskEcon® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.
About Risk Economics, Inc.
Risk Economics specializes in economic analysis of risk and liability. It provides advisory services at the intersection of commercial business-process engineering and risk engineering with a particular focus on coupling commercial reinsurance and financial technology, through the rigorous application of agent-based, demographic, and statistical methodologies to microeconomic and macroeconomic analytics.
The Risk Economics® client roster is diverse and includes governmental and quasi-governmental agencies, global insurance and reinsurance firms, leading law firms, technology firms, global banking institutions, asset management firms, multinational corporations with interests in natural resources, commodities, and energy, as well as government agencies and regulators.
David K.A. Mordecai participated in Demo Day 2021 for FinTech Innovation Lab (FTIL) on June 24, 2021, as Scientist-in-Residence for FTIL. FTIL is an accelerator platform for early and growth stage technology firms, organized by the Partnership Fund for New York City, in conjunction with Accenture and a consortium of venture capital firms and global financial institutions.
As Scientist-in-Residence for FTIL, David K.A. Mordecai is one of eight Executives-in-Residence for the FTIL Mentors Network. The FTIL Mentors Network is comprised of over 30 seasoned entrepreneurs that have successfully launched and scaled a financial technology company to acquisition or IPO. Members of the Network serve as mentors and informal advisors for companies accepted into FTIL, providing guidance on the broad range of issues faced by senior management of financial technology (FinTech) companies. Due to the ongoing COVID-19 pandemic, the entire FTIL 2021 cycle was conducted remotely. In addition, FTIL Demo Day 2021 was held remotely via YouTube, marking the second time FTIL Demo Day was conducted entirely online.
Applicants to FTIL must have at least a working beta version of their technology that is ready for testing in either the institutional or retail market. The Chief Technology Officers from the 44 supporting financial firms selected the current set of ten participants for the 2021 cycle.
Cinchy (Toronto, Canada): “A Data Fabric platform used by a growing number of the world’s most complex financial institutions to eliminate integration and data silos”
CoverGo (Hong Kong/Singapore): “Offers a configurable, modular, no-code insurance platform powered by 500+ insurance application programming interfaces (APIs) to automate processes and enable digital transformation at record speed”
Delio (Cardiff, UK): “White-labeled technology and infrastructure enabling the creation of connected distribution platforms and marketplaces for transforming private markets—integrating deal origination, distribution, transaction and reporting into structured and highly configurable workflows”
Quarrio (Berkeley, CA): “Conversational analytics product enables sales teams to ask questions about enterprise data and receive answers within seconds”
Rightfoot (San Francisco, CA): “Creates APIs that enable developers to quickly and easily add student debt repayment (and soon, any type of debt repayment) capabilities into any app”
Safekeep (New York, NY): “Award-winning AI-driven claims solution increases recovery potential and reduces effort by as much as 90%”
SPIN Analytics (London, UK/New York, NY): “An explainable AI platform, RISKROBOT™, providing10x acceleration, automated data preparation and management, model development, regulatory documentation, validation and monitoring for credit risk management in banks”
The Climate Service (Durham, NC): “Developed their Climanomics® software as a service platform that enables investors and corporations to incorporate climate risks into their strategic planning, risk management, and climate risk disclosure processes”
Util (London, UK): “Sustainability data”
Vesttoo (Tel Aviv, Israel): “Risk modeling for the L&P and P&C insurance markets”
About RiskEcon® Lab @ Courant Institute
The mission of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management in the public interest.
RiskEcon® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.
David K.A. Mordecai participated in Demo Day 2020 for FinTech Innovation Lab (FTIL) on June 25, 2020, as Scientist-in-Residence for FTIL. FTIL is an accelerator platform for early and growth stage technology firms, organized by the Partnership Fund for New York City, in conjunction with Accenture and a consortium of venture capital firms and global financial institutions.
As Scientist-in-Residence for FTIL, David K.A. Mordecai is one of six distinguished senior advisors who are members of the FTIL Mentors Network, comprised of seasoned entrepreneurs that have successfully launched and scaled a financial technology company to acquisition or IPO. Members of the Network serve as mentors and informal advisors for companies accepted into FTIL, providing guidance on the broad range of issues faced by senior management of financial technology (FinTech) companies.
Due to the COVID-19 pandemic, the entire FTIL 2020 cycle was conducted remotely. In addition, FTIL Demo Day 2020 was held remotely via YouTube, making it the first such FTIL Demo Day to be conducted entirely online.
Demo Day 2020 Applicants to FTIL must have at least a working beta version of their technology that is ready for testing in either the institutional or retail market. The Chief Technology Officers from the 43 supporting financial firms selected the current set of ten participants for the 2020 cycle:
Alkymi: “Uses machine learning to create a data inbox that extracts business data from email and documents to accelerate business processes.”
ArthurAI: “A production Artificial Intelligence (AI) monitoring platform that seeks to provide enterprises with the tools to detect model performance issues proactively, provide auditability and explainability to black box decisioning, and measure algorithmic bias to ensure fair decisioning.”
Broker Buddha: “A software-as-a-service (SaaS) platform for independent agents that helps them grow their business through interactive customer, friendly, online applications.”
ClauseMatch: “A content collaboration platform seeking to enable financial institutions’ global compliance and risk teams to interact with, review and approve centralized policy documents with a precise audit trail mapping them to regulatory obligations to help ensure regulatory compliance.”
Datafleets: “An enterprise federated intelligence platform that uses machine learning to analyze unseen, sensitive data to generate business insights without compromising data privacy.”
Knoema: “A knowledge and data management firm that works with corporates, buyside and sellside firms to manage, catalog and discover all of their subscription, public and internal data assets.”
Sigma Ratings: “A counterparty risk platform that seeks to leverage machine learning and deep domain expertise to enable automated entity-level risk benchmarking and ongoing monitoring of non-credit risks at scale.”
SkyHive: “An AI technology that seeks to transform the reskilling process for workers and workforces. SkyHive rapidly identifies internal skill sets, compares to the external labor market, identifies emerging and future skills, and automates the navigation of reskilling to the future state in real-time.”
Summer: “Seeks to help student loan borrowers lower their debt by using technology and industry expertise to identify and enroll them in the best possible repayment plan for their financial situation.”
True Flood Risk: “An AI-driven property risk management platform that seeks to provide individual property level data & real time analytics helping banks, insurers, property owners and risk mitigation experts identify and quantify the financial impact of flood risk in real-time.”
About RiskEcon® Lab @ Courant Institute The mission of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, our goal is robust integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management.
RiskEcon® Lab enables, facilitates and coordinates academic research focusing on these patterns and trends, through the development of commercially-viable, analytic applications employing computational statistical tools in conjunction with innovative and non-traditional data structures. In addition, the lab’s activities involve the advancement of applied mathematical statistics and computational economics, through interdisciplinary post-doctoral, postgraduate, graduate research and education in data science and social computing.
RiskEcon® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.
Ms. Kappagoda discussed the Role of Data in AI along with Sharon Cohen Levin, Partner, Litigations Group & Member Criminal Defense and Investigations Group at Sullivan & Cromwell. Courtney Kidd Chubb, Head of Operations and Sector Strategist at Deloitte presented on AI and Talent and Emma Roberts, Senior Global Program Lead at Leanin.Org co-presented AI in the Workplace with Amy Auton-Smith, CEO of FairFrame. Closing remarks were given by Jami Miscik, CEO and Vice Chairman of Kissinger Associates.
Barclays Annual Digital Leader Series is hosted by and for women executives who are focused on financials and technology, including credit cards, payments and FinTech. This series offers an opportunity for women in complimentary industries to network and have direct and meaningful discussion about topics of mutual interest.
About Risk Economics, Inc. Risk Economics is a New York based advisory firm founded in 1999, providing advisory services at the intersection of commercial business-process engineering and risk engineering with a particular focus on coupling commercial reinsurance and financial technology, through the rigorous application of agent-based, demographic, and statistical methodologies to microeconomic and macroeconomic analytics.
The conference brought together innovators, regulators, market participants and the general public to discuss the latest in fintech developments and the impact of these emerging technologies on markets and customers. Building on last year’s inaugural conference, Fintech Forward delved deeper into artificial intelligence in the 21st century marketplace, digitization, big data and global perspectives on fintech issues all of which are current priorities for the CFTC.
About Risk Economics Risk Economics provides advisory services at the intersection of commercial business-process engineering and risk engineering with a particular focus on coupling commercial reinsurance and financial technology, through the rigorous application of agent-based, demographic, and statistical methodologies to microeconomic and macroeconomic analytics.
