Solutions
In 2018, Data Inc launched nova IQ, a subsidiary boutique technology solutions services provider. nova IQ will focus on emerging, disruptive technologies, mainly in the Financial sector. Data Inc has on-boarded three industry senior leaders executives with extensive domain expertise in Emerging Technologies in Financial services to run nova IQ collaboratively with Data Inc.
nova IQ will operate with the same core values that have guided Data Inc over three decades as a preferred vendor to global Fortune 500 organisations across multiple sectors. As a trusted technology partner, nova IQ will provide integrated solutions to solve client’s most difficult business problems, exploiting emerging technologies like Artificial Intelligence (AI), Machine Learning (ML), Blockchain, CI-CD, DevOps, Cloud, Microservices, Big Data and Data Analytics.
nova IQ will leverage Data Inc’s long-standing reputation and a vast network of the financial services to attract top talent and partner with best-of-breed. nova IQ has established an Innovation Lab to showcase industry demos, PoCs and solution accelerators to help organizations solve business problems rapidly and significantly reduce time-to-market. Clients benefit from low-cost of licensing and ownership, open-source standards and components, supported by industry best-practices across the software development lifecycle and nova IQ’s delivery methodology.
nova IQ will focus on the following key areas in financial services that are most ripe for disruption by emerging technologies, specifically AI and ML:
- Prime brokerage – collateral management and risk
- Wealth management – next-generation robo-advisors, portfolio optimization and allocation
- Retail banking – customer service and support, chatbots
- Sales & Trading – pricing, valuation, and pattern detection
- AI and Machine Learning in HR as a horizontal
The supporting technologies that nova IQ will focus on are:
- Front-end – HTML5/CSS3/Angular/React
- UX / UI design
- Mobile development – iOS / Android
- Big Data – Hadoop stack and related Ecosystem of Big Data Technologies (Pig, Hive, Cassandra etc)
- Cloud architecture and development – AWS, Azure, GCP
- Java/.NET/C++
- Python/R/Tensorflow, Keras
- CI-CD/DevOps/Distributed Agile Transformation
- Enterprise Architecture Assessments (TOGAF) and Application Portfolio Rationalization as part of Digital Transformation
Profiles
John Killeen – Chief Executive Officer
John is a seasoned financial services technology executive with over 30 years of experience leading Fortune 100 enterprise-level organizations in the United States, Europe and Asia. A highly effective integrator of systems and people, he has a proven track record of delivering pragmatic, value-added solutions to complex business challenges.
He has held C-level positions at Merrill Lynch, TD Ameritrade and JP Morgan Chase where he led the execution of strategic technology plans and managed executive relationships across multiple business lines.
John holds a degree in Operations Management and Mathematics from Pace University.
Rajeev Sharma – COO – Operations and Technology Strategy
Rajeev joins us from Ness Digital Engineering, where he has had various roles since 2013. His last role, as Chief Solutions Officer, which he held for 4 years, saw him responsible for offering help to C-Level leadership in their Digital Transformation journey. He has also served as a senior rocket scientist in the prestigious Agni Missile Program with Defence R&D in India.
Rajeev has done his Graduate studies in Management and System Design from MIT and Public Policy at Kennedy School at Harvard University as also General Management at Harvard Business School. He also has a prior Master’s Degree in Space Engineering & Rocketry from India.
Dharmendra Kapadia – VP of Engineering
Dharm joins us from Ness as well, where he was AVP of Solutions covering a large part of North America, with focus on financial services and pharmaceuticals/healthcare. He brings with him 25+ Years of hands-on development, architecture, and leadership on strategic directions in current and future technology trends including Digital Transformations, Platform Modernization, Mobile Development, Big Data, Machine Learning, Payments, Reporting, and Analytics.
Dharm holds a degree in Electrical Engineering from the New Jersey Institute of Technology.
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