Overview: The Insights product is a new offering for Guidepoint's Institutional investment and corporate clients, that offers teleconferences, surveys, and in-person events. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e., private equity/hedge fund), sell-side equity research analysts, and industry professionals. Visit Insights team biographies at https://www.guidepoint.com/insights/#team . What You’ll Do: Work closely with the Insights team to execute teleconferences that will cover a wide range of sectors including tech/media/telecom, consumer, industrials/materials/energy, healthcare and financials Proactively monitor pipeline of upcoming call topics so experts can be identified or selected 1-2 weeks before scheduled call date Utilize the phone, LinkedIn, and outreach to recruit new Advisors to join the Guidepoint network and communicate with potential experts to answer questions or discuss/verify their credentials Recruit new advisors to join the Guidepoint network, using a variety of outreach tools and resources provided. Communicate with potential experts via phone to answer questions or discuss/verify their credentials Develop effective screening criteria for experts to test knowledge of subject matter; Review responses to screening questions from experts to gauge sufficient knowledge of subject matter Finalize scheduling and call logistics details directly with experts What You Have: Bachelor’s degree or higher with strong academic record is required 1-2 years of work experience in pre-sales/ sales/ client service/ customer support/ BPO/ lead generation Prior experience in cold calling and sending cold emails, generating leads would be great Excellent communication and interaction skills, including demonstrated
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Research Engineer Intern in India
379 active opportunities · Updated October 2026
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Explore current research engineer intern jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.
At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. We are looking for a Research Advisor to join our growing Customer Experience and Research (CXR) team. In this position, you will work collaboratively with Lead Research Advisors and Dscout clients to help our customers use our platform to design, recruit and field research projects. Our clients conduct research on a wide range of topics varying across: technology, retail, healthcare, and AI, just to name a few. You will have a chance to make a real difference for Dscout’s customers and build your career in the worlds of research and customer success. You are an incredible communicator and a genuine, creative problem-solver. You’re the client’s partner in learning a new digital tool to execute powerful research. You collaborate with clients as they develop research plans, and help to identify Dscout methodologies that best meet their needs. Internally, you are our clients’ champion to drive larger improvements to the platform and overall user experience. The Research Advisor position is among the most central to Dscout’s operations, and means you’ll work with people from across the company on a regular basis, especially our product, engineering and sales teams. If this sounds exciting to you, apply today! What you will do: Act as a true Dscout expert to train and educate clients on features and functionalities Provide specific recommendations for clients’ research design on Dscout Assist in running clients’ research projects on Dscout in
Research Associate I — Ahmedabad, Gujarat. Apply via Workday.
About Groww: We are a passionate group of people focused on making financial services accessible to every Indian through a multi-product platform. Each day, we help millions of customers take charge of their financial journey. Customer obsession is in our DNA. Every product, every design, every algorithm down to the tiniest detail is executed keeping the customers’ needs and convenience in mind. Our people are our greatest strength. Everyone at Groww is driven by ownership, customer-centricity, integrity and the passion to constantly challenge the status quo. Are you as passionate about defying conventions and creating something extraordinary as we are? Let’s chat. Our Vision Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. At Groww, we are making sure every Indian feels empowered to do so through a cutting-edge multi-product platform offering a variety of financial services. Our long-term vision is to become the trusted financial partner for millions of Indians. Our Values Our culture enables us to be what we are — India’s fastest-growing financial services company. It fosters an environment where collaboration, transparency, and open communication take center-stage and hierarchies fade away. There is space for every individual to be themselves and feel motivated to bring their best to the table, as well as craft a promising career for themselves. The values that form our foundation are: Radical customer centricity Ownership-driven culture Keeping everything simple Long-term thinking Complete transparency Job Description: Responsible for research and coverage of high end investment products, this role ensures the firm maintains a live universe of curated investment ideas, supported by data, rationales, and manager intelligence. Key Responsibilities: Track new product launches across MF, PMS, AIFs, Structured Products. Build and maintain a central repository of data, research, and collaterals.
MeltPlan | Planning Engine for the Built Environment MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really Is We are looking for an AI Research Scientist – Computer Vision to enhance and manage the PlanGraph model, which transforms 2D drawings into structured graphical representations of building elements. The role involves solving downstream business use cases such as quantity takeoff, code compliance, value engineering, and constructability analysis.We are specifically looking for hands-on researchers with experience in solving real-world Computer Vision problems and building custom vision models, VLMs, or VLLMs for production-grade applications. What You’ll Do Build and optimize custom Computer Vision models, VLMs, and VLLMs for construction intelligence workflows. Solve downstream business use cases including quantity takeoff, code complianc
About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Corporate Functions? Zinnov’s Corporate Functions teams power how the firm delivers at scale—building the internal engine behind high-growth, high-impact work. You’ll get: Direct contribution to running and scaling operations that matter—spanning HR & compliance, talent acquisition, marketing, employer branding, facilities/infra, learning & development, and finance & compliance, whichever one you’re here for. Exposure to operating models where Zinnov provides end-to-end enablement building the internal operating engine, employee experience, and scalable processes. A highly cross-functional environment—working closely with delivery/PMO and domain teams to drive consistent execution and employee experience at scale. About the Role As a Senior Manager – Research & Thought Leadership, GC
Overview The Insights product is an offering for Guidepoint's Institutional investment and corporate clients, now in its 9 th year, that offers teleconferences, surveys, in-person events, along with a plethora of AI-facilitated data and content. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. private equity/hedge fund), sell-side equity research analysts, and industry professionals. What You’ll Do: Conduct bottoms-up company research including reviewing earnings releases, reading investor presentations and analyzing regulatory filings Moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for buy-side and PE clients Work with our AI team to systematize diligence questions with the goals of automating certain fundamental research solutions Generate ideas and follow key investor views among relevant strategies within European credit Can be an in-person position or a fully remote work-from-home position What You Have: Must possess exceptional written and spoken English skills at a professional level Bachelor’s degree or Master’s degree 7 years or more of deep fundamental analyst experience ideally in a Private Equity setting Must follow a bottoms-up, fundamental approach to investment research focusing on individual companies Has prior experience covering single name corporates on either the sell-side or buy-side. Some familiarity with capital structure or credit analysis, via the Broadly Syndicated Loan or Private Credit / Direct Lending markets. Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional
*We're Hiring Growth & Market Research Intern* *Company:* RAMP GLOBAL *Location:* Hyderabad (Work from Office) *Duration:* Minimum 3 Months *Stipend:* 6,000 10,000/month *PPO Opportunity* for high-performing interns *Build Your Career Beyond the Classroom!* Are you a recent graduate or final-year student looking to gain real business experience? At *RAMP GLOBAL*, you'll work closely with the Founder's Office, interact with real customers, conduct market research, and learn how products are built, tested, and launched. This is a hands-on internship where you'll contribute to real business projects not just routine tasks. ### What You'll Work On Customer interactions & business communication Market & competitor research Customer interviews & feedback analysis Business outreach & partnership support Presentations, reports & business insights Product & go-to-market initiatives ### What You'll Learn • Business Development Fundamentals • Market Research & Customer Discovery • Professional Communication • Analytical & Presentation Skills • Startup Execution & Problem Solving • Working with Founders & Leadership ### Who Can Apply? Recent graduates or final-year students (Any Technical or Non-Technical background) Fluent in English, Hindi & Telugu Good communication skills Curious, proactive, and eager to learn ### Why Join Us? Learn directly from experienced founders Work on real-world business challenges Build practical, career-ready skills Internship Certificate PPO opportunity based on performance *About RAMP GLOBAL* RAMP GLOBAL develops innovative software solutions for fleet management, vehicle maintenance, and workshop operations, serving businesses across multiple countries. Learn more: rampglobal *How to Apply?* Send us your updated resume at . Shortlisted candidates will complete a short practical assignment before the interview process.
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Specialist Economist will be responsible for delivering high-quality impact assessment reports, white papers, policy research, and revenue-generating research studies. The incumbent will independently drive Economic and Social Impact Assessment (ESIA) engagements, ensuring methodological rigor, analytical excellence, and timely delivery. The role involves conducting primary and secondary research, performing quantitative and qualitative analysis, developing actionable insights, and preparing client-ready reports and presentations. The individual will collaborate closely with internal stakeholders, clients, policymakers, and industry participants to understand business requirements, provide evidence-based recommendations, and contribute to thought leadership initiatives that support client objectives and business growth. Work Location: 4 days a week from the BKC, Mumbai office and 1 day a week from the Turbhe, Navi Mumbai office.
Overview: The Insights product is a new offering for Guidepoint's Institutional investment and corporate clients, that offers teleconferences, surveys, and in-person events. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enable our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e., private equity/hedge fund), sell-side equity research analysts, and industry professionals. Visit Insights team biographies at https://www.guidepoint.com/insights/#team. This position will be based in India and work closely with the Global Healthcare Insights team . What You’ll Do: Content Creation and Research Coverage: Monitor a coverage universe of public and private companies within the Medtech, Lifesciences tools and Healthcare Services sector. Track key industry trends, material news flows, earnings releases, investor presentations, research in key coverage markets. Identify and maintain a robust pipeline of company and industry specific topics — generate original ideas for discussion, covering business updates, event studies, channel checks, hot topics and other investment narratives Create and moderate teleconferences on the pipeline featuring an expert from Guidepoint’s network with the goal of producing actionable insights for clients Review teleconference transcripts to ensure quality of content. Summarize key discussion points Process Management: Ensure Guidepoint compliance policies and protocols are adhered to Exhibit ‘ownership’ for the call by vetting experts’ relevance to Insights Teleconferences and ensuring their profiles’ accuracy. Work with research teams to identify and recruit additional industry experts to our Expert Network; Manage and further develop relationships with both experts and clients What you have: PhD or Masters degree in S
Quantitative Researcher Every trading strategy begins with a question worth answering. At Graviton, we believe the best trading strategies don't come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher , you'll work on these questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies. You'll work alongside quantitative researchers and technologists in an environment where research moves quickly from an idea on a whiteboard to something that can influence live trading. The problems are open-ended. The data is enormous. The answers aren't in a textbook. You'll be expected to find them. What You'll Work On You'll work across different areas of quantitative research and systematic trading. Depending on your team and research interests, your work may include: Discovering predictive patterns and sources of alpha from billions of market events . Formulating hypotheses about market behaviour and designing experiments to test them. Applying probability, statistics, optimization and machine learning to complex research problems. Building predictive models and quantitative signals for systematic trading. Developing and improving research infrastructure that enables faster experimentation and deeper analysis. Working with large and complex datasets to uncover patterns that aren't immediately visible. Designing robust backtests and statistical tests to distinguish genuine signals from noise. Investigating market microstructure and understanding how markets behave at different timescales. Evaluating strategy performance, identifying weaknesses and continuously refining models. Working closely with technologists to translate research ideas into efficient, production-ready systems. Building AI-powered r
Who we are Graviton Research Capital is a privately funded quantitative trading firm. We trade across a multitude of asset classes and trading venues using a diverse range of concepts, from time series analysis and stochastic models to machine learning and statistical inference. We analyse terabytes of data to identify pricing anomalies and drive innovation in financial markets. Role Overview We are looking for a Program Manager who thrives at the intersection of rigorous engineering and predictable delivery. You will not just "manage tasks" — you will orchestrate the development lifecycle for mission-critical systems. Your goal is to ensure that our elite engineering teams can focus on high-performance code while you own the execution strategy, dependency mapping, and release discipline. Key Responsibilities Lead Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives) tailored for deep-tech engineering teams. Transform high-level trading requirements into granular, executable backlogs. Own capacity planning and burn-down metrics to provide high-visibility delivery timelines. Navigate the complex interplay between engineering teams (e.g., Connectivity, Core Infrastructure, Simulation) to prevent bottlenecks. Build and maintain advanced Jira dashboards, automated roadmaps, and Confluence documentation that serve as the "single source of truth" for stakeholders. Proactively identify technical debt, architectural blockers, or resource gaps that threaten release stability. Continuously refine Agile methodologies to suit low-latency, performance-sensitive development cycles (where "Definition of Done" includes rigorous performance benchmarking). Eligibility & Required Skills 5+ years of experience as a TPM, Program Manager, or Scrum Lead in a product-engineering environment (HFT, FinTech, Networking, or Kernels/Systems). A strong grasp of the software development lifecycle for high-performance systems. While you won't write code, you must understand concepts li
Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quant Analyst - Risk for our team in Gurugram. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As a Quant Analyst - Risk you will be responsible Work as a team with senior traders to operate and implement/improve our automated trading strategies. Analysing production trades and developing ideas to improve our trading strategies. Implement monitoring tools which highlight potential issues in the production strategies. Write comprehensive and scalable scripts in both C++ and python analysing production strategies for risk attribution, performance break-ups along various buckets and so on. Build ‘cool’ scalable post-trade systems analysing multitude of statistics across all production strategies. Implementing tools for analysing Market Data centrally across various exchanges. Managing deployments and release cycle, with working along with a senior trader. Requirements : Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science from top-ranked universities 3+ years of experience in Python, Shell/Bash scripting. Basic knowledge of Linux and shell command-line tools Basic programming and scripting (Python/Shell) skills Strong problem-solving, and analytical skills Excellent communication skills Have a strong work ethics Mentorship experience in guiding junior developers. Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great idea
Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Senior Quantitative Trader for our team in Gurgaon. We trade across a multitude of asset classes and trading venues with significant market share and constantly seeking to replicate our successes to newer exchanges and products. As a Senior Quantitative Trader your responsibilities will include Develop and deploy completely automated systematic strategies with short holding periods and high turnover Typical strategies deployed include Alpha-seeking strategies and Market Making Rigorously back-test strategies on in-house research infrastructure Graviton can offer a successful Quantitative Trader Exceptional financial rewards Friendly and collegial working environment Access to advanced trading systems for low-latency execution of strateiges Excitement of being a part of a new expanding trading business Requirements : Deep experience in HF/UHF Trading Live HF Trading experience for at least 2 years. PnL Track record with excellent sharpe ratios. Programming experience in C++ or C Proficiency in using Python, R, or Matlab for statistical/data analysis of HFT tick data Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science Benefits: Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation 4 Weeks of paid vacation Monthly after work parties Catered breakfast and lunch Fully stocked kitchen Gym membership International team outing
Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu
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