Sep 2023 – Jan 2024 · 4 mos

Mar 2021 – Sep 2023 · 2 yrs 6 mos · On-site

• Inquant Alternative Investment Trust is a SEBI registered category 3 AIF. It's first scheme Inquant Debt Plus is a data driven systematic absolute returns product. It deploys fully automated computer programs to trade in the Indian Futures and Options market. As a Partner at Inquant, in addition to my primary responsibilities of trading and conducting quantitative research, I have successfully managed diverse responsibilities across critical areas, including investor communications, technology, regulatory compliance, and operational management.
• Overall, my journey at Inquant as a Partner has been marked by continuous learning, innovation, and impactful contributions to the firm's success.

Mar 2021 – Sep 2023 · 2 yrs 6 mos · On-site

• 1. Daily tasks:
• a. Running multiple quantitative strategies ensuring their functioning on an end-to-end basis
• b. Creating an encrypted daily configuration file for input parameters
• c. Selecting appropriate securities for Exchange data stream subscription
• d. Implementing position sizing and risk management procedures
• 2. Monitoring and internal communication:
• a. Monitoring intraday/EoD PnL, and communicating to rest of the partners
• b. Detecting and as needed, correcting, the deviations from expected strategy behavior
• 3. Position management:
• a. Ensuring intraday/EoD strategy wise positions are on expected lines
• b. Rolling positions as required by the strategies
• c. Ensuring security wise exposure is under the regulatory limits
• 4. Risk management:
• a. As/if required, making manual trades in order to book PnL, cut risk or because of regulatory reasons
• b. Logging the reasoning of manual interventions made, and evaluating if it can be build into system for future use case

Mar 2021 – Sep 2023 · 2 yrs 6 mos · On-site

• 1. Ideation and testing:
• a. Conducting research by delving into research papers, lectures, and practical experiences
• b. Formulating alpha ideas based on research findings
• c. Conducting rigorous historical backtest of the alpha idea incorporating trading costs, estimated spreads and modeled impact costs on our proprietary backtesting engine
• 2. Technology and infrastructure development:
• a. Developed an in-house proprietary backtesting engine in Cython following OOP and TDD principles
• b. Maintaining extensive research dataset consisting of exchange provided historical daily trades data (~5 GB/day) spanning over 9 years and other opensource/proprietary datasets
• 3. Translating idea to market tradable alpha:
• a. Based on risk-return profile showcased in a strategy backtest, running it on paper trading mode to monitor for any deviation from expected behavior
• b. Using recently obtained historical data to check deviations in live trades from their expected backtest behavior for individual strategies and correcting the production code as needed
• 4. Research collaboration:
• a. Analyzing and reviewing the research produced by other team members to help translate into improved trading strategies
• b. Conducting literature survey and brainstorming it with rest of the team for enhancing current alphas and identifying new alpha opportunities

Mar 2021 – Sep 2023 · 2 yrs 6 mos · On-site

• 1. Investor communications:
• a. Providing insightful quarterly performance and risk updates
• b. Utilize various communication channels such as blogs, emails, and LinkedIn posts to disseminate ad-hoc updates
• 2. Technology:
• a. Spearheaded the setup of Linux cloud infrastructure
• b. Working in a team of 3 to develop and document the software architecture and code in areas of strategy execution, operational automation and day-to-day signal generation
• 3. Regulatory compliance:
• a. Took charge of the firm's compliance obligations, serving as the primary contact with regulators, compliance consultants, and other relevant parties
• b. Helped formulate compliance policies, including conflict of interest, risk management, insider trading, stewardship, and AML policies
• c. Formulated processes to ensure strict adherence to regulatory requirements including maintaining restricted security list, trade pre-compliance procedure, and KYC process
• d. Ensuring timely regulatory reporting including that to SEBI, trustee, and the investors
• e. Maintaining comprehensive documentation, both physical and digital, to ensure seamless reporting
• 4. Operational management:
• a. Computing daily leverage exposure and facilitating reporting to custodian
• b. EoD positions, trade and PnL reconciliation as needed
• c. Maintaining up-to-date documentation of the firms trade operational procedure, accommodating new feature incorporations and updates
• d. Documentation of behavior of each of the Funds strategy, historic backtest as well as live performance, strategy wise capital allocation decisions, and LLP resolutions as needed
• e. Helped design and review the Fund's private placement memorandum
• f. Obtained trademark for our brand
• g. Worked with fund accountant in a team of 3, to review calculations of management fees, performance fees and gross returns

Jun 2019 – Feb 2021 · 1 yr 8 mos · Newport Beach, California · On-site

• PIMCO is a globally renowned investment management firm specializing in fixed income securities. With a research-driven approach, experienced professionals, and a commitment to delivering superior results, PIMCO is recognized for its expertise, innovation, and comprehensive investment solutions. I worked for its flagship Global Macro Hedge fund complex.
• Multi-asset exposure including that in global fixed income, currency, and derivative products
• Responsible for assessing portfolio and trade risk exposures, trade sizing, portfolio allocation and return attribution
• Assisted multiple Portfolio Managers on the day-to-day trading book management process via activities including evaluating the hedges needed to line up risk exposure, sending and ensuring timely completion of trade orders sent to the execution traders, and implementing various quantitative and fundamental driven strategies
• Automated the daily tenor-wise duration hedges for the interest rates volatility trading book in Python saving the desk on an average 2 hours of man-work per day
• Streamlined automations in areas including intra-day risk reporting, trade pre-compliance, asset-level financing position, and account level currency exposure hedges that speed up the operations during the trading hours
• Frontline attribution analysis using strategy performance measurements in collaboration with the respective PMs
• Coalesced the ideas of other analysts and researchers, to give timely reports to multiple PM groups on updates in the global markets
• Collaborated with other desks including emerging market, commodities, quant, and mortgages as required
• Worked with PMs and quant researchers to produce research in areas including modeling fair value of rates, spread mean reversion strategies, factor-based investing (executed via Total Return Swaps), seasonality-based trading, and event-driven (auction based) strategies
• Aided PMs and execution traders to translate research ideas into actionable alpha

Feb 2019 – May 2019 · 3 mos · Greater New York City Area

• Course: Risk and portfolio management with econometric methods
• Coursework: Introduction to risk and portfolio management techniques for portfolios consisting of equities, fixed income, futures, and options. Econometric analysis, statistical learning, and time series analysis. Introduction to risk premia and utility theory. Monte-Carlo simulation. Risk analytics including VaR, volatility, and drawdowns. Portfolio optimization based on Markovitz theory, gradient descent, and Black Litterman model
• Conducted office hours for concept explanation, computational demonstrations and query resolution. Graded the coursework including assignments, projects, and examinations

Jun 2018 – Aug 2018 · 2 mos · New York, New York · On-site

• My responsibilities included assisting the quant risk team at Guggenheim Partners Investment Management on different projects, including but not limited to:
• 1. Building up a risk and performance analytics library (in R)
• 2. Implementing top-down methodology for valuation of CLO
• 3. Stress testing and scenario analysis of different holding portfolios on BlackRock Aladdin
• 4. Reconciliation of different risk/performance databases
• 5. Monitoring different risk measures across different portfolios

Feb 2018 – May 2018 · 3 mos · Greater New York City Area

• Course: Introduction to mathematical modeling (around 40 students)
• Coursework involves non dimensionalization, population modeling, predator-pray model, stability analysis, heat equation, Lagrange optimization, classification and regression models, Brownian motion and stock prices, Python based modeling
• Apart from helping students learn the concepts with suitable examples in class as well as office hours, I did computational demonstrations as and when possible for clearer understanding of the topic

Jun 2016 – Jul 2016 · 1 mo · Mumbai Area, India

• Implemented and back-tested machine learning based positional trading strategy for Index futures involving technical and fundamental indicators such as P/E ratio, moving averages and RSI
• Pitched the strategy to a group of 30 brokers explaining the benefits and the limitations