I am seeking a highly talented and motivated Quantitative Researcher/Developer to spearhead trading initiatives. In this unique role, you will have the opportunity to build a cutting-edge trading logic from the ground up. This role is entirely dedicated to the development of the algorithm's logic. You will be the architect of our trading strategies, leveraging your knowledge and skills to create a system that identifies and capitalizes on market opportunities."
General Principles:
- Focus on short-term trading: The algorithm primarily focuses on identifying and exploiting short-term market inefficiencies, often holding positions for very short periods, even just a few days or hours.
- Statistical arbitrage: A core element is statistical arbitrage, which involves identifying temporary price discrepancies between related securities and profiting from their convergence.
- Market-neutral approach: The fund aims to generate returns that are independent of overall market direction, minimizing risk from broad market movements.
- Extensive data analysis: The algorithm analyzes vast amounts of historical data, including price movements, economic indicators, news events, and even weather patterns, to identify subtle patterns and correlations.
- Quantitative and Data-Driven: strategies that rely on mathematical models and statistical analysis.
Specific Strategies
- Hidden Markov Models: Use of Hidden Markov Models to identify regime changes in market behavior and adjust trading strategies accordingly.
- Trend-following: incorporate elements of trend-following, capitalizing on momentum and price trends in US market.
COMPENSATION IN US DOLLARS.
Dear
Algotrading a must
I am intersted on this job:
Why I’m a Strong Fit
1. Technical Expertise:
*
Python/
C++: Built low-latency ML models (e.g., EV range prediction at Trickce, 92% accuracy) and optimized algorithms (40% speedup in Brain Tumor Segmentation,
LOR Nihar.Rhythm Agrawal.pdf ).
* Quantitative Modeling: Statistical analysis of socioeconomic drivers of Kalazar Disease (logistic regression) and derivatives pricing coursework (Columbia Financial Engineering certification,
Certificates_List_Nihar_Mahesh_Jani.docx ).
2. Relevant Experience:
* CTO (Tech Lead ) , Trickce: Led on-device AI model development for EV performance prediction, balancing real-time data processing and risk mitigation. (
Nihar J. on LinkedIn: #startups #innovation #googleforstartups #iima #trickee #innovation… )
* Internships: Researched accessible tech solutions (Birmingham City University,
BCU Offer Letter.pdf ) and engineered computer vision pipelines (Kalindi Engineering).
3. Academic Rigor:
* I scored an impressive 99.17th percentile in JEE Mains Mathematics(
LETTER OF RECOMMENDATION-Nihar.pdf ), ranking among the top 0.83 percentile out of 12 lakh students. This achievement is particularly noteworthy as JEE Mains serves as a crucial entrance exam for prestigious NITs and IITs. Additionally, I have secured certifications in Machine Learning from Stanford University and have completed coursework in Applied Linear Algebra, Probabilistic Graphical Models, and Human-Computer Interaction (HCI). (
Certificates_List_Nihar_Mahesh_Jani.docx )
I also possess excellent communication and teamwork skills. I served as the Secretary of the IEEE Ahmedabad University Student Branch for a year, from March 1, 2023, to March 2024. During my tenure, I spearheaded events related to Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Deep Learning, Internet of Things (IoT), and career-related services. Additionally, I invited renowned personalities for their prestigious talks. Furthermore, I worked at two Non-Governmental Organizations (NGOs): Green Bhumi Foundation and Prabhat Education Foundation.
(
EXTRA_CURRICULAR_ACTIVITIES.pdf )
Why This Internship?
I aim to bridge my technical foundation with hands-on quant experience before starting at Rutgers. My goal is to contribute to impactful projects—whether in algorithmic trading, risk modeling, or data-driven strategy development—while learning from industry experts like yourself.
Proof of my 99.17th percentile rank in JEE Mains Mathematics, placing me among the top 0.83 percentile out of 12 lakh students: (
LETTER OF RECOMMENDATION-Nihar.pdf )
I would welcome the chance to discuss how my skills align with your team’s needs. Thank you for considering my application.
Best regards,
Nihar Mahesh Jani
niharmaheshjani@gmail.com
LinkedIn:
https://www.linkedin.com/in/nihar-j-8824011bb |
GitHub:
NiharJani2002 - Overview
