Head of Quantitative Research

Dezerv is a house of investing solutions for high-net-worth and affluent Indians. Dezerv is co-founded by Sandeep Jethwani, Vaibhav Porwal, and Sahil Contractor. They have led successful wealth management businesses and managed over USD 7 billion in assets. The Dezerv team brings together decades of investing expertise from leading global financial institutions like JP Morgan, UBS, BNP Paribas, etc. Our team of experts monitors the performance of portfolios and rebalance them if required to ensure long-term success. We are backed by marquee firms like Premji Invest, Accel, Elevation, Matrix, etc. Since inception, our clients have trusted us with over 12000+ Crs of their assets.

Why are we building Dezerv

Investing is stressful and emotional. Building & growing wealth is difficult and time-consuming. Most individuals struggle with managing their investments and money. Our goal is to help individuals grow their wealth without the stress, time, and costs involved in a traditional investment. At Dezerv, we are building a platform that leverages our decades of investment expertise to help individuals invest better for their future.

What are we trying to solve/mission

We are passionate about helping Indians invest better. We manage investments with active oversight to help both sophisticated and new investors build long-term wealth across various market conditions.

Key Responsibilities:

• Lead Dezerv's quantitative research strategy and align it with investment objectives
• Develop, test, and iterate quantitative models and strategies end-to-end & conduct data analysis to extract actionable investment insights
• Design algorithms for portfolio construction, optimization, and risk management & ensure compliance with regulatory standards and internal risk protocols
• Manage and mentor a team of quant researchers. Collaborate with the Engineering & Product team to operationalize models
• Present research findings to internal stakeholders and clients & maintain high standards of data quality, model robustness, and research rigor
• Stay current with trends in quant finance, GenAI, and data science and use them to improve our product offerings

Qualifications:

• 710+ years of experience in quantitative investment research & data modelling, and a prior experience leading a team of 4-5+ people
• Experience working in the investment domain and ability to create, manage, test, and iterate strategies end to end
• Proficient in Programming languages like Python/R, SQL; experienced with Cloud Data Warehousing technologies like Snowflake, AWS S3, Redshift etc
• Advanced degree in Mathematics, Statistics, Data Science, or related field from a reputed institution, and excellent analytical, communication, and leadership skills
• Strong background in building robust backtesting frameworks to validate strategies using historical data, ensuring reliability and minimizing model risk
• Ability to process and analyse massive datasets efficiently, utilizing modern data engineering and distributed computing tools
• Experience working with engineering, MLOps, and data science teams to deploy models and ensure seamless integration into production environments