Lead 4-member Data Intelligence Group as new data solutions hubClient profiling for targeted campaigns using Causal AINatural Language Querying and automated commentary generation by leveraging Large Language Models (LLMs) like ChatGPTSetup and support 5-member quant review team for ongoing monitoring of 3rd party funds, internal products and insurance carriers as well as research logic enhancement opportunitiesLeverage advanced analytics/ML for streamlining governance reviewsAs Innovation and TechPillar Lead, spearhead firm-wide automation projectsSelected among 50 high-performing individuals from global offices to participate in 1-month intensive training for strategic collaboration initiatives & accelerated growth

Lead co-ordination, streamlining & enhancement of various Governance reviews for all external fundsAs Innovation Champion, seek areas across WM Solutions business which could benefit through application of cutting-edge technological solutions and advanced analytics including ML & NLP

Owner of Real Estate model local parametrization customized for entity’s portfolioValidate outputs based on Group risk framework and analyze change in market & asset credit risk for $35B portfolio on an asset only & ALM basisSubmitted proposal to the French regulator to get use of internal model approved for entityDefined a quantitative criteria to assess materiality of a new asset class in Strategic Asset Allocation

- Developed rate (3-factor CIR), spread (JLT with Markov shock) and equity (stochastic vol with jump diffusion) models; used Kalman Filtering to calibrate various models- Developed risk-return attribution framework as well as ‘what-if’ analysis tool to generate actionable insights- As part of Data Governance Committee, responsible for deploying strict sanity checks on portfolio data- Coordinate closely with Enterprise Risk Management & Model Validation Teams- Won a cash prize of INR 70K in Impact Challenge for solving a limitation of Market Risk module related to low Corporate Spread Risk predicted by ESG.- Implemented machine-learning based blackbox optimizer for entity's SAA in a multi-year ALM view with multi-asset constraints using a heuristic directional direct search algorithm

- Produce annual & quarterly stochastic asset return & volatility simulations for company's $40B portfolio- Analyze change in market & asset credit risk on an asset only & ALM basis- Develop, implement & document quantitative asset modeling & recalibration methodologies- Maintain third party modeling platform and simulate economic scenarios.- Design and build of the Strategic Asset Allocation benchmark, which reflects the asset and liability strategy of the Group including efficient frontier analysis of potential strategic benchmarks; based on portfolio optimization, taking into consideration, company's market view- Conducted extensive research as well as statistical analysis for rework of models for Emerging Market Debt, CMBS and ABS.- Analysis of investment strategy and performance attribution of peer companies for the CIO; based on their publicly available company filings and earning calls.

- Premium benchmarking service for operational and financial aspects of businesses over a wide spectrum of industries through a pooled database of listed & unlisted firms.- Leading a team of 4 covering the consumer staples sector broken down into over 100 distinct industry types- Strategizing and setting-up product for launch & interim office administration.

- Was actively involved in equity research and review. Built and maintained detailed financial models on companies under coverage. Analysis & updates to reflect key economic, industry-related and company-specific trends sourced from publicly available data.- Led a team of 6 to review financial research from reputed bulge bracket banks (Citi, Deutsche Bank, BNP), research firms (Bernstein, Berenberg, Peel Hunt), boutique investment banks, PE firms as well as consultancies. Created transparent & insightful break-up of EPS for over 600 of the most reputed global companies for novice investors. Sent weekly update mails to clients.

Deployed and setup SAS Sentiment Analysis tool for text mining of social mediaposts and customer complaints data to establish its business benefits.

-Server transfer of their newly acquired subsidiary Ad2Games, Germany’s biggest game marketing network, from PHP to Ruby platform and its website maintenance-As junior product manager for their new widget offering, was responsible for its overall management, customization and innovations achieving 300% increase in revenues.

Built algorithms for well-known product Lendingstream.co.uk which helps subprime borrowers get instant cash. Part of the 2-member operation solely responsible for executing loan defaulter reminder system which was becoming a major issue with increase in client-base