3,614 Researcher jobs in India

Quantitative Researcher - India/Remote

40+ top systematic firms seeking exceptional researchers. Multiple immediate openings.

What you'll do:

• Research and develop alpha-generating signals-
• Build statistical models and ML frameworks
• Collaborate with PMs and traders on strategy implementation

Requirements:

• 2+ years quant research experience
• PhD/Masters in quantitative field preferred
• Python/R expertise with proven research track record

Our network:

• Pay: $200K-$2M+ based on experience
• Locations: India, Remote
• Firms: Boutique quant shops to multi-billion systematic funds
• Strategies : HFT, Market Making, Systematic, Crypto

From pure research roles to trader-researcher hybrids.

Ready to explore? Apply now for confidential discussions.

Job Summary:

We are seeking a seasoned Security Researcher with deep expertise in malware analysis, reverse engineering, and cloud threat research. The ideal candidate will have extensive hands-on experience analyzing advanced malware, uncovering TTPs (Techniques, Tactics, and Procedures) used by threat actors, and aligning their findings with the MITRE ATT&CK framework. The role also requires deep understanding of public cloud services (AWS, Azure, or GCP), and a keen eye for identifying vulnerabilities and emerging attack surfaces for sandbox product.

Key Responsibilities:

• Perform advanced malware analysis, including unpacking, static code inspection, and dynamic behavioral profiling using industry-standard tools (e.g., IDA Pro, Ghidra, x64dbg)
• Reverse engineer diverse malware families—such as trojans, ransomware, loaders, and stealers—to extract indicators of compromise (IOCs) and document threat actor tactics, techniques, and procedures (TTPs)
• Malware detection and attribution using yara signature.
• Track and analyze newly released cloud resource types and services, assessing associated risks and attack surface expansions.
• Collaborate with Security SMEs to develop and refine threat hunting rules focused on adversary activities in the cloud control plane.
• Lead and execute cloud security research projects, contributing to threat intelligence and proactive defense strategies.
• Investigate customer escalations and incidents to identify false positives and false negatives.
• Perform data discovery and validation to ensure high data efficacy and accuracy in detection systems.
• Maintain strong awareness of vulnerabilities, threat groups, and attack trends across cloud platforms.
• Automate analysis tasks and operational workflows using Python, Scala, and Linux shell scripting.
• Communicate research findings effectively to engineers, analysts, and stakeholders.
• Ensure research and methodologies align with industry security standards and compliance frameworks.
• Adhere to high quality work standards
• Responsible for maintaining Confidentiality, Integrity and Availability of Vehere’s information assets including business critical information

Skills & Qualifications:

• Minimum 8 years of experience in security research and threat analysis.
• Expertise in at least one major cloud provider: AWS, Azure, or GCP.
• Strong knowledge of malware analysis and reverse engineering tools (e.g., IDA Pro, Ghidra, OllyDbg, Wireshark, etc.).
• Experience in threat intelligence, TTP identification, and MITRE ATT&CK framework.
• Solid understanding of cloud infrastructure, resource types, and control plane threats.
• Hands-on programming/scripting skills in Python, Scala, and Linux Shell.
• Experience in data validation and security detection tuning.
• Excellent communication and collaboration skills, particularly in cross-functional teams.
• Familiarity with common security compliance standards (e.g., ISO 27001, SOC 2, NIST).

About the Role

We are looking for a UX Researcher to join our Product & Design team at HT Digital Streams. You will uncover user needs, behaviors, and motivations to shape seamless, engaging experiences across our news and content platforms.

Responsibilities

• Conduct user research (surveys, usability tests, interviews) to understand digital content consumption.
• Translate insights into personas, user journeys, and actionable recommendations.
• Partner with Product, Design, Editorial, and Tech teams to enhance engagement, navigation, and content discovery.
• Test and optimize features across web, mobile, and app platforms.
• Leverage research and analytics tools (Hotjar, GA, UserTesting, etc.) to deliver data-backed insights.

Requirements

• 1–4 years of UX research experience, preferably in digital media, consumer apps, or online platforms .
• Skilled in both qualitative and quantitative research methods.
• Excellent communication and storytelling skills.
• Passion for media and user-centered design.

Are you looking to gain experience in research and make a meaningful contribution?

Project AWARE aims to advance awareness, readiness & ethics in AI. The rapid adoption of AI has led to significant concerns, and our project seeks to address these issues.

• Conduct literature scans and prepare concise evidence memos.
• Help design surveys/interview guides and support data collection remotely.
• Analyze findings and draft policy briefs & research notes.
• Map sectoral use-cases across various industries.
• Maintain high standards of research ethics and document your work.

• You should have background or interest in public policy, economics, sociology, law, education, AI & society. Students and early professionals are welcome.
• Strong writing and synthesis skills with proficiency in Google Docs/Sheets.
• Bonus qualifications include R/Python or STATA programming skills, fieldwork experience, and proficiency in an Indian language.
• We value curiosity about equity and perspectives from marginalized communities.

• Certificate of Contribution upon completion of the role.
• Named credit for select outputs that meet the contribution threshold.
• Mentorship, regular check-ins, and access to our research templates/toolkits.

We are a proprietary trading firm specializing in HFT/MFT strategies, seeking a Quantitative Researcher skilled in Python, C++, AI (ML, & RL) to build and deploy alpha-generating models. This role offers significant autonomy, direct impact on PnL, and access to world-class data and infrastructure.

Responsibilities

• Research and prototype strategies using ML/RL and statistical methods on tick-level data.
• Design features, build robust backtests, and translate research into production-ready Python/C++ code.
• Collaborate with traders and engineers to ensure efficient deployment and execution.
• Continuously improve models, monitor performance, and refine signals.

What we are looking for

• Strong Python, C++, and Linux skills.
• Hands-on experience in ML/RL, time-series modelling, and data science.
• Ability to take research from hypothesis → backtest → live deployment.
• Understanding of market microstructure.
• Entrepreneurial mindset, driven to find real-world edge.

We're seeking a skilled professional to support the development and implementation of data models, focusing on Machine Learning.

• Assist in creating Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions.
• Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives.
• Gain hands-on experience with Deep Learning and General AI technologies under senior data scientists' guidance.
• Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience.
• Collaborate with team members to ensure effective implementation of data science solutions, participating in brainstorming sessions and project discussions.
• Support documentation of methodologies and results, ensuring transparency and reproducibility of data science processes.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI.
• Experience in a data science role, demonstrating practical experience and strong Python programming skills.
• Exposure to Business Intelligence (BI) & Data Engineering concepts and tools.
• Familiarity with data platforms such as Dataiku is a plus.

Skillset:

• Solid understanding of Machine Learning principles and practical experience in Python programming.
• Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy).
• Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills.
• Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights.
• Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems.
• Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions.

At our organization, we value diversity and commit to creating an inclusive environment for all employees. We encourage applications from individuals of all backgrounds and experiences.

We are seeking a skilled professional to join our organization as a Market Researcher. In this role, you will be responsible for collecting, analyzing, and interpreting market data to support data-driven decision-making.

The ideal candidate will have excellent analytical skills, strong communication abilities, and the ability to work effectively in a team environment. You will be responsible for conducting primary and secondary research to gather market intelligence on industry trends, customer behavior, and competitor performance.

• Conduct primary and secondary research to gather market intelligence on industry trends, customer behavior, and competitor performance.
• Analyze customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand.
• Compile and analyze statistical data using modern tools and software (e.g. Excel, SPSS, R, Python, Tableau).
• Interpret data trends and patterns to provide actionable insights and strategic recommendations.
• Develop clear and compelling reports, dashboards, charts, and presentations for internal stakeholders.

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Able to work effectively in a team environment.
• Familiarity with modern data analysis tools and software.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and detail-oriented individual who is passionate about data analysis, we encourage you to apply for this exciting opportunity.