Top Tech Jobs & Startup Jobs in Mumbai

As a Developer Algorithm Quant Associate, you'll develop and maintain algorithmic trading strategies, assess quantitative models, optimize trading execution, and contribute to the SDLC infrastructure while supporting trading activities. You’re expected to have strong programming skills and advanced knowledge in mathematics and finance.

As a Quant Modelling Associate in the Risk Management and Compliance team, you will evaluate and test models used in derivatives trading, ensuring their soundness and reliability. You will communicate findings to stakeholders, maintain model inventories, and provide guidance on model usage, while remaining current with industry developments.

As a Product Owner, you will lead projects in the Finance team, overseeing the delivery of regulatory compliance, capital calculators, and analytics applications while collaborating with various stakeholders to achieve strategic goals and ensuring high-quality project execution.

As an Associate Quantitative Researcher, you will develop and implement quantitative models across various asset classes, perform independent price verification, and provide quantitative analysis to stakeholders. Responsibilities include building analytics, calibrating model parameters, resolving issues with current models, and collaborating with multiple teams.

The Associate will collaborate with the Consumer & Community Banking team to build data monitoring and controls for Risk Decision Engines. Responsibilities include analyzing large data sets, supporting post-implementation validations, developing data quality rules, and automating reporting processes utilizing SQL, VBA, Tableau, and more.

The Risk Associate - Product Owner will collaborate with technology partners and Product Teams within Wholesale Credit Risk to develop product requirements and user experiences. Responsibilities include gathering requirements, conducting usability studies, managing priorities, and ensuring timely delivery of product features. The role emphasizes strong communication, organizational skills, and the ability to work under pressure.

Develop tools to automate tasks in model governance and review lifecycle, build dashboard reports, translate business requirements into applications using Python, and create intelligent solutions for MRGR staff.