Krishna Tibrewal

As an Impact Consultant at 180 Degrees Consulting, I work with non-profits and social enterprises to create sustainable strategies that drive meaningful change. My primary focus is on identifying and analyzing potential corporate partnerships for clients like Specialisterne, evaluating companies for investment opportunities and strategic alignment. By leveraging data-driven insights and a collaborative approach, I contribute to integrating neurodivergent talent into the workforce and shaping impactful solutions that align with client's long-term goals. This role has deepened my understanding of creating social value through strategic consulting.

As a Risk Analyst at Morgan Stanley, I developed models for calculating RTPL for CDS and bond asset classes, supporting the Profit and Loss Attribution Test. I also designed a framework for applying Data Quality Checks on time-series data in line with FRTB guidelines, leveraging Python, Bash, and API design. Additionally, I optimized risk model performance by 150% through MongoDB sharding, data slicing, and OOP, significantly enhancing efficiency in risk analytics.

As a Quantitative Developer at Dolat Capital, I worked on enhancing and optimizing data structures and algorithms for various trading strategies and indicators using C++, Autograd, and Bash. I developed an indicator to calculate implied volatility, leveraging Black-Scholes and Option Greeks models. After intensive training on options trading and high-frequency trading (HFT), I focused on devising new trading strategies and optimizing latencies for two teams of seven quantitative traders. By implementing an optimization technique that pre-packaged orders, I reduced latencies by 10-40 nanoseconds, receiving recognition for the impact on execution speed. Within six months, I took on a leadership role, managing a team of three and collaborating closely with traders to refine strategy executions.