Wipro Limited is looking to build innovative solutions that address clients' most complex digital transformation needs, focusing on building and optimizing time-series data pipelines for Global Markets, supporting high-frequency trading, tick data storage, backtesting, and risk analytics.
Requirements
- Strong expertise in KDB+ and q language.
- Understanding of high-frequency trading systems and time-series analytics.
- Skills in schema design, partitioning, compression, and performance tuning.
- Time Series Forecasting
- modern AI technology
- AI framework/ architecture
Responsibilities
- Design tick data schemas with partitioning and compression strategies.
- Develop and optimize q queries for traders, quants, and risk teams.
- Support tick replay systems for backtesting and regulatory compliance.
- Manage the product/ solution development using the desired AI techniques
- Lead development and implementation of custom solutions through thoughtful use of modern AI technology
- Create AI models and framework and implement them to cater to a business problem
- Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
Other
- Day 1 Onsite
- Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
- Team Management
- Resourcing
- Talent Management
