Arvind Jha

Product Manager

Bengaluru, Karnataka, India7 yrs 9 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in quantitative modeling and market strategies.
Developed AI systems for autonomous vehicles.
Strong foundation in financial markets and engineering.

Stackforce AI infers this person is a Fintech and Robotics expert with a strong focus on quantitative strategies and AI systems.

Contact

Skills

Core Skills

Quantitative ModelingMarket UnderstandingLiquidity ManagementCapital PlanningArtificial Intelligence

Other Skills

C (Programming Language)C++Capital AllocationComputer VisionDeep LearningFixed Income ProductsImage ProcessingLiquidity ModelingMicrosoft OfficeModel BuildingOpenCVPath PlanningProgrammingPySparkPyTorch

About

Quantitative Strategist in the global markets space at Morgan Stanley, where I develop and implement strategies across derivatives and linear products, with a focus on fixed income instruments. My work involves systematic model design, backtesting, and building infrastructure that bridges quant research with production-grade systems. Previously at Goldman Sachs, I was part of the capital liquidity modeling team, where I enhanced internal liquidity models used for regulatory and capital planning. I focused on optimizing capital allocation and improving the interpretability of firm-level trade impacts, helping business units better understand and manage internal funding constraints. During my time at IIT Kharagpur, I was a core member of the Autonomous Ground Vehicle (AGV) student research group, where I developed and deployed deep learning-based computer vision systems for real-time object detection and navigation. This hands-on experience with applied machine learning continues to shape how I approach large-scale, data-driven problems in financial markets. I enjoy working at the intersection of markets, data, and engineering; building clean, robust systems that drive better decisions. With a strong foundation in quantitative modeling, programming, and market understanding, I aim to contribute to the evolving landscape of trading and investment strategy. I’ve cleared CFA Level II and am particularly interested in how automation and AI can reshape the future of the world we live in.

Experience

Morgan stanley

Quantitative Strategies

Jul 2024 – Present · 1 yr 8 mos · Mumbai, Maharashtra, India

Part of a global markets team working on systematic strategies within the fixed income space. I primarily focus on designing and building strategies across derivatives and linear products, with recent work involving the launch of new strategies in the both of these spaces.
The role involves combining quantitative techniques with a deep understanding of market structure to develop scalable strategies across global fixed income products.

Quantitative TechniquesSystematic StrategiesFixed Income ProductsQuantitative ModelingMarket Understanding

Goldman sachs

3 roles

Quant Strats Associate

Jan 2024 – Jul 2024 · 6 mos · Bengaluru, Karnataka, India

Designed models in primarily the liquidity space. This involves working with a plethora of models, to calculate the contingency liquidity fund requirement, optimisation of liquidity movement to manage the payment obligations in an efficient way as well as to carve out the impact of each business to the firm’s risk appetite to better estimate their PnL.

Liquidity ModelingCapital AllocationRisk ManagementLiquidity ManagementCapital Planning

Quant Strats Analyst

Jul 2021 – Jan 2024 · 2 yrs 6 mos · Bengaluru, Karnataka, India

I am part of the Liquidity Management Strats team. I build models to better manage, estimate and explain the Liquidity Requirements of the firm and the various risks associated with it.
I work closely with the various businesses to better understand the impact of the aspects of their activities and include them in the model.
I use languages like Python and firm proprietary Slang to code the models, while using PySpark for handling the big datasets.

Model BuildingPythonPySparkLiquidity Management

Summer Analyst

May 2020 – Jun 2020 · 1 mo

Autonomous ground vehicle research group

Artificial Intelligence Team

Mar 2018 – Apr 2021 · 3 yrs 1 mo · Kharagpur I, India

I work in the Artifical Intelligence Team of the group. My work mainly consists of Perception using computer vision, deep learning utilizing cameras and LIDAR sensors. I have worked on the Eklavya bot which we used in the Intelligent Ground Vehicle Competition 2018 held in Michigan where we were the first runners up. I am working on the Mahindra E20 under the Mahindra Rise Prize competition aiming to make the first autonomous car for the Indian road Conditions. My work has mainly consisted of developing efficient approaches for robust perception of the car's environment and helping it in its maneuver. My field of work involves extensive applications of Deep Learning, Reinforcement Learning, search algorithms and Computer Vision.

Computer VisionDeep LearningReinforcement LearningArtificial Intelligence