About Vision Maverick

We’re the founding team building next-generation intelligence for the markets—turning multi-model signals into a single score and risk-aware execution. Our mission is simple: help you go from research to routed trades—faster, safer, and with an auditable trail.

Clarity

Explainable decisions and robust defaults.

Discipline

Paper, shadow, then live—guardrails by design.

Pragmatism

Solve with the simplest tool that works.

Company

Vision Maverick fuses multi-strategy research in Python—indicators, ML, and RL—with a production-grade router for risk-aware execution. We help teams move from research to routed trades—faster, safer, and with an auditable trail.

Team


Director of Strategy and Market DevelopmentVinodkumar Shetty

An innovative leader responsible for analysing market trends and crafting actionable strategies.

Director of MarketingNeha Priyadershini

As Director of Marketing, she leads the development and execution of marketing initiatives, elevating brand presence.

Director of Human ResourcesPooja Yadav

An accomplished HR leader responsible for shaping and executing people strategies.

Director of AdministrationSuman Yadav

As Director of Administration, she oversees daily operations, manages administrative staff, and ensures efficient workflows throughout the organisation.

Careers

We're looking for creative go-getters

Java Engineer (Execution & Risk)

Spring Boot, WebSocket I/O, resilience patterns, low-latency basics.

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Machine Learning Engineer (Intern)

Develops and deploys advanced machine learning models to solve real-world business challenges, often related to financial data or trading strategies. Works with cross-functional teams to preprocess large datasets, select and tune algorithms, and integrate machine-learning-driven solutions into production systems. Monitors model performance, ensures scalability, and continuously improves models with new data for optimal business impact.

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Python/Quant Research Engineer(Intern)

Assists in collecting, analyzing, and visualizing large datasets, supporting the development of data-driven insights and predictive models. Participates in data cleaning, exploratory analysis, and helps build statistical or machine learning models under the guidance of senior data scientists. Gains hands-on experience with industry tools and methods while contributing to ongoing analytics projects in a collaborative team environment.

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Contact us!

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