Quantitative Insurance Solutions Analyst in India

About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. Technology is central to AQR’s success. As a Software Engineer in Portfolio Implementation , you will work on mission-critical systems that turn investment ideas into reality. Partnering closely with researchers and portfolio managers, you will design and build proprietary tools that support quantitative strategy research and systematic investing at scale. Your Role : As a Software Engineer in Portfolio Implementation , you will design, build, and extend systems that sit at the core of AQR’s investment process, including: Portfolio Implementation platforms that consume research o

About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. Your Role Conduct comprehensive and timely reviews of various materials, including but not limited to marketing and other client-facing material, client reports, research papers, webisodes, and social media content. Assess materials across multiple asset classes and investment strategies for compliance with applicable global regulations (e.g., SEC Rule 206(4)-1, FINRA Rule 2210, ESMA, FCA and non-US regulatory regimes) and internal firm policies. Apply expertise in the review of complex presentations, including hypothetical and back-tested performance, reviewing for regulatory compliance. Provide proactive

Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quantitative Researcher for our team in Gurgaon. This team 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. Responsibilities: Develop new or improve existing trading models using in-house platforms Use advanced mathematical techniques to model and predict market movements Analyse large financial datasets to identify trading opportunities Provide real time analytical support to experienced traders Requirements: Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science from IITs schools Quantitative bent of mind A working knowledge of Linux/Unix Programming experience, preferably in C++ or C No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets. Have a strong work ethic Hard Working 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 ideas and technological innovations. Everyone on the tea

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.

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.

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

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

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

Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a Software Engineer for our team in Gurgaon. Our Core Technology team has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day. Requirements Contribute to all layers of backend systems including databases, APIs and applications Design, build and maintain applications for business requirements Architect scalable and reliable applications Write clean and modular code, following good coding standards and practices Troubleshoot and debug applications Be involved in the entire application lifecycle Collaborate with multidisciplinary team of front-end developers, engineers and system administrators Devise innovative solutions to address new and complicated challenges Build reusable code and libraries for future use Take lead on projects, as needed Work in a high paced competitive environment Qualifications The ideal candidate will have: Engineering degree in Computer Science (preferred) or any other discipline from a Tier 1 college. 3 to 4 years of relevant experience in designing and improving information systems Proficiency in Python programming Extensive experience working with relational databases and handling large datasets Good Understanding of object oriented and asynchronous programming

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.

Role: Network Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. 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. Key Responsibilities Design, deploy, operate, and troubleshoot low-latency network infrastructure used by trading firms. Manage connectivity to global stock exchanges, brokers, market-data providers, and ISPs. Build and maintain colocation infrastructure including routers, switches, Layer-1 devices (added advantage), structured cabling and cross connects. Configure and support Cisco Nexus, Arista and similar platform devices. Design and troubleshoot Layer 2 and Layer 3 networks including: VLANs, VRFs, BGP, OSPF, Static routing, PIM, IGMP, Multicast, SSM, ACLs and QoS. Troubleshoot packet loss, multicast issues, duplicate packets, IGMP/PIM and multicast/BGP routing. Monitor and optimize latency, jitter, packet loss, interface errors, congestion, and network performance. Work with ultra-low-latency technologies including: Cut-through switching, Layer-1 switches, FPGA-based network devices, Kernel-bypass networking, ExaNIC/Solarfla

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 st

Role: Application Reliability Engineer Location: Gurgaon Who we are Graviton Research Capital 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 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. Key Responsibilities and Deliverables The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence. As an Application Reliability Engineer, you will be responsible for: Monitor production services and respond quickly to alerts, incidents, and outages to ensure smooth operation and minimal downtime. Monitor trading systems and infrastructure., Triage issues across trading support services, databases, and infra; escalate and coordinate with the right owners, and drive root-cause analysis and ensure fixes are implemented for long-term stability. Serve as the first line of defense for trading operations. Proactively identify, address recurring issues, and build automation to reduce manual intervention. Improve observability by enhancing monitoring, logging, and alerting systems. Develop and maintain operational runbooks and SLO/SLA metrics. Eligibility and Required Skills Possess a degree in a highly analytical field,

Role: VPN Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. 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. Responsibilities Manage and support corporate network infrastructure across multiple locations, including routers, firewalls, switches, wireless access points, VPN gateways, Internet links, and LAN/WAN connectivity. Configure and troubleshoot VPN technologies such as IPsec, SSL VPN, site-to-site VPN, remote-access VPN, WireGuard, OpenVPN, and FortiClient/FortiGate VPN, including issues related to authentication, tunnels, routing, DNS, packet loss, performance, split tunnelling, and firewall policies. Manage secure connectivity between offices, data centres, cloud environments, and remote users. Configure and maintain office LAN infrastructure, including VLANs, trunk/access ports, inter-VLAN routing, DHCP, DNS, NAT, ACLs, static routing, BGP, and OSPF where required. Manage multiple ISP connections, including primary and backup Internet links, automatic failover, and monitoring of utilization, latency, jitter, pack

About Bolna Bolna is Voice AI infrastructure built for India - and now for the world. We help businesses deploy intelligent voice agents that can call, converse, and convert in any language, at scale. From collections to customer support to sales, our agents handle millions of conversations so humans don’t have to. We’re a YC F25 company, backed by General Catalyst, with 1,050+ paying customers and growing fast. Our team of ~25 is based in Bengaluru. The Role Every voice AI agent Bolna deploys makes real-time judgment calls - when to speak, when to go silent, when a customer is done talking, when to hand off. We’re building automated systems to grade these calls at scale, using LLMs as judges of call quality. But before you trust a model’s judgment, you verify it against a human’s. That’s this role. You’ll listen to real calls, annotate what actually happened, and check whether our automated systems - LLM-as-judge evals and quantitative signal detection - got it right. It’s precise, high-attention work, and it sits right at the center of how we know our voice agents are actually working. This is an internship role for someone early in their career who wants hands-on exposure to how a voice AI company builds trust in its own AI. What You’ll Do Annotation Listen to and annotate real customer calls - transcription review, issue tagging, labeling - using tools like Label Studio Follow (and help sharpen) annotation guidelines for a multilingual environment (Hindi, English, Hinglis