Quant Researcher in India

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: As a Quantitative Researcher, you will: • Develop and enhance trading models using our in-house platform • Analyze extensive financial data sets to unearth trading opportunities • Provide analytical support to our experienced traders • Develop predictive models for market movements • Mentor interns and freshers, grooming them as future teammates Qualifications: The ideal candidate will possess: A degree in Computer Science, Mathematics, or Engineering from a leading institution. 0-4 years of relevant work experience. Exceptional analytical and problem-solving skills. Proficiency in programming, particularly in C++ or C. Working knowledge of Linux, Python, and shell scripting. A curious mindset and a passion for understanding complex systems. A disciplined and consistent work ethic. Strong communication and interpersonal skills. Previous experience in a startup or the High-Frequency Trading (HFT) industry will be an added advantage. What We Offer: Competitive salary package Opportunity to work in a dynamic and collaborative environment Career growth and development opportunities Catered breakfast and lunch Annual international and domestic trips Monthly team dinners

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

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. Role Overview We’re looking for engineers who can take AI work beyond experiments and make it hold up in production. You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack. We value engineers who think about trade-offs, test what they build, and care about how things run in production. What You’ll Build Production AI Ship models that meet defined latency and reliability expectation Add monitoring, rollback, and guardrails before anything goes live Optimise inference across CPU/GPU environments when it matters Integration into Real Systems Plug AI into data-heavy workflows without hurting performance Work within existing low-latency architecture instead of fighting it Profile and remove bottlenecks rather than guessing AI for Engineers & Researchers Build tools that genuinely speed up research and development Improve code understanding, review workflows, and internal knowledge retrieval Keep systems auditable and predictable LLM & Retrieval Systems Implement structured RAG and embedding pipelines with validation in place Create safe integration layers between models and internal systems Performance & Standards Track latency, drift, and stability — not just accuracy Build observability into everything you ship Help raise the bar for how AI is engineered here What We’re Looking For Strong Python fundamentals Clear thinking around system design and performance trade-offs Experience deploying AI systems in production (1–5 years is typical) Familiarity with transformers, embeddings, or LLM deployment Nice to have: Exposure to C++ / Rust / Go E

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

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Key Responsibilities: As a Software Developer - Platform, you will play a vital role in building and enhancing tools that empower our Quant, Infrastructure, Compliance, and Operations teams. In addition to web application development, you will be responsible for automating critical infrastructure processes, optimizing tasks, and delivering scalable solutions for our trading ecosystem. Application Development: Develop and maintain in-house software tailored for business and trading requirements. Enhance internal tools and applications to improve the user experience for different teams. Ensure robust and reliable trade monitoring systems through continuous innovation. Automation Development: Design and develop frameworks to automate infrastructure provisioning, configuration, and deployment using latest industry best practices Automate exchange-specific tasks such as connectivity management, order book monitoring, and trade execution workflows. Task Optimization: Identify and optimize repetitive tasks through scripting and configuration management. Ensure scalable and adaptable solutions to support multiple exchanges and regions. Infrastructure as Code (IaC): Use Ansible to codify infrastructure configurations, ensuring consistency and repeatability. Manage playbooks for server setups, network configurations, and middleware deployment. System Monitoring and Maintenance: Develop tools for system health checks, performance monitoring, and logging. Automate response mechanisms for critical alerts and incidents. Collaboration: Work closely with infrastructure, network, and trading teams to gather requirements and deliver robust solutions. Coordinate with exchange connectivity teams to ensure complianc

University Recruiter About Graviton : Graviton Research Capital is a global quantitative trading and investment firm driven by technology, mathematics and rigorous problem-solving. We bring together exceptional talent across quantitative research, software engineering and technology to solve some of the most challenging problems in the industry. Our university talent ecosystem is one of the most important engines for building Graviton's future — and one of the most operationally demanding to run well. The Role : We are looking for a campus talent professional who can both think in systems and execute in detail — someone who can shape how Graviton identifies, engages, assesses and converts exceptional early-career talent, and who is equally comfortable owning the on-the-ground execution that makes a hiring cycle run without friction. Depending on experience, this role can be scoped as a hands-on execution owner running the campus hiring engine end-to-end, or as a strategic owner architecting the assessment frameworks, university strategy and program design that the engine runs on — in both cases, you will partner closely with Quant and Tech leaders and be accountable for the full lifecycle: university outreach, assessments, internships, PPO conversion and onboarding. What You Will Own Campus Talent Strategy & Ecosystem Building Build and maintain relationships with priority institutions (IITs, IIITs, BITS and relevant global universities), placement offices, faculty and student communities. Drive year-round engagement - events, technical talks and competitions — to strengthen Graviton's employer brand outside peak hiring windows. Assessment & Selection Coordinate (or design and standardize, at senior levels) rigorous selection frameworks in partnership with Tech and Quant teams — scheduling assessments, allocating panels, driving timely feedback, and building interviewer calibration mechanisms to keep evaluation objective and consistent. Internships & PPO

Linux Engineer A Career with point72’s Technology team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Support, maintain, and troubleshoot Linux systems in production and development environments Assist with system provisioning, configuration, and lifecycle management Monitor system performance, availability, and capacity; respond to incidents and outages Work closely with developers and quants to support research and trading workloads Automate operational tasks using scripting and configuration management tools Assist with patching, upgrades, and vulnerability remediation Maintain documentation and operational runbooks Participate in on-call rotation (as appropriate for level) What’s REQUIRED Bachelor’s degree in computer science, information technology, engineering, or a related field. 5+ years of professional experience administering Ubuntu Linux systems and ZFS Strong understanding of Linux fundamentals including processes, memory, CPU, filesystems, and networking as well as systemd, cron, logging, and package management (apt) Experie

A CAREER WITH POINT72’S DATA SOURCING TEAM: We are looking for a Market Data Operations Associate to join our Enterprise Data Sourcing Team to help manage day-to-day market data operations around data governance, entitlement management, and market data support. In this role, you will support our expanding data requirements and strategic business initiatives around firmwide market data. What you’ll do: Manage and monitor market data and service change notifications from exchanges and other key market data suppliers Identify any gaps in market data usage and coverage and provide proper licensing recommendations Administer and manage market data entitlements for market data feeds (e.g. TREP, BPIPE) and terminals (e.g. Bloomberg Terminals, FactSet Workstation, CapIQ) Help manage exchange audits to fulfil their requirements, including working with usage statistics via SERS / DACS / EMRS reports Help ensure the firm’s market data access and usage is compliant with licensing agreements Help manage the full lifecycle of market data exchange contracts and renewals, including tracking of user inventory and key commercial terms Help provide additional ad-hoc administrative support around the firm’s market data operations, including invoice reconciliation, internal reporting, etc. What’s required: Bachelor’s or Master’s degree in finance, economics, computer science, business, or related field (with a strong academic record). 4+ years of experience in market data management within a financial services or trading environment. Strong understanding of exchange data licensing, entitlements, and governance policies. Familiarity with market data platforms, feed technologies, and integration processes. Knowledge of global trading markets and regulatory requirements. Strong problem-solving skills with the ability to anticipate issues and propose solutions. Detail-oriented with the ability to track policy changes and ensure operational compliance. Proj

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Be part of a trading systems engineering team, dedicated to building out the core trading platforms. Work closely with cross functional teams to improve the system reliability, scalability and security. Engage in and improve the quality supporting the platform. Build and manage systems, infrastructure and applications through automation. Provide operational support to internal teams working on the platform. Work on improvements to bring in high efficiency, reduce latency, deploy systems faster. Practice sustainable incident response and blameless postmortems. Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents. Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity. Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity. Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems). Proactive approach to problem analysis and resolution of production incidents. Manage Issue tracking and prioritisation of day to day production incidents. Manage platf

JOB TITLE Site Reliability Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO You will play a highly critical operational role where you will apply a combination of software and systems engineering skills to develop and maintain a complex set of distributed, real-time systems that serve critical stakeholders in Point72’s Global Macro business. You will focus on optimizing the operations of existing systems and infrastructure in an efficient manner, through a strict adherence to automation and tooling Specifically, you will: Build out foundational technical components of an extensive SRE program across multiple complex systems, both new and existing • Collaborate with our development and quant teams to ensure that ongoing change is consistent with a pre-determined, measurable set of SLOs spanning multiple complex user interactions with our systems • Monitor system capacity and performance, identifying and addressing potential future bottlenecks and sources of instability before they become impactful to our stakeholders • Review and provide feedback on automation code developed by peers to maintain high standards of code quality and efficiency • Troubleshoot and resolve system issues, analyzing their impact on infrastructure and service operations • Participate in or lead design reviews with peers and stakeholders, evaluating and selecting the best technologies and automation strategies for our needs WHAT’S REQUIRED We are looking for highly motivated, proactive engineers