About the role

The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.

Open Problem
An interview that thinks, listens and gets it right every time.

Running an interview is easy. Running a good one is hard.

Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.

Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.

Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.

That is where the field currently falls short. Closing that gap is the work.

What you'll do

• Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
• Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
• Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
• Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
• Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
• Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.

Who you are

• You have built and shipped agentic or conversational AI systems in production, not just prototypes.
• You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
• You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
• You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.

Even better if you have

• Experience building multi-turn conversational agents or interview-style AI systems.
• Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
• Background in dialogue systems, conversational evaluation, or rubric-based scoring.
• Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.

You will thrive in this role if

• You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has. 
• You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.

About Karya:

Why was Karya on the cover of the Time Magazine , highlighted by Satya Nadella , and invited to present its work to Sundar Pichai one on one? 

In part, because Karya is on a mission to provide AI enabled earning and learning opportunities to communities with high talent, but low access to opportunities. Karya achieves this while also delivering high quality, timely, and price competitive data to its clients.

Karya builds high quality datasets for large companies like Google and Microsoft, while providing ethical work opportunities and fair wages to its workforce.

Karya’s workers make nearly 20 times the Indian minimum wage and through our one-of-a-kind digital work platform, we have delivered over 40 million digital tasks and have positively impacted over 100 thousand workers. In the coming years, our goal is to rapidly scale our impact by bringing economic opportunities to millions of underserved users in India. With a rapidly growing global presence, we are also looking to expand our client base in the Indian market by partnering with leading Indian enterprises.

About the Role:

We are looking for a Lead Product Designer to shape how technology creates meaningful, dignified opportunities for low-income and historically excluded communities. At Karya, design is about reimagining who technology is built for, and who gets to participate in the AI economy. You will lead the design of products that work in low-resource environments, across languages, and for users with diverse levels of digital access and literacy.

This is a leadership role combining hands-on design, team building, and deep collaboration across product, technology, and field operations.

Why This Role Matters

At Karya, we are building systems where communities are not just users, but contributors to the technologies shaping the future.

Design plays a critical role in ensuring that these systems are accessible, inclusive, and truly representative.

What You Will Do

Design for Inclusion & Real-World Contexts

• Design experiences that work in low-bandwidth, low-literacy, and multilingual environments
• Build products that reflect the realities of low-income and underserved communities, not idealized users
• Champion localization beyond translation - including cultural, linguistic, and contextual relevance
• Simplify complex systems into intuitive flows that are accessible to first-time or intermittent digital users

Lead & Grow the Design Function

• Set clear goals, priorities, and design direction aligned with product and impact outcomes
• Manage and mentor a team of designers across UI, UX, and research
• Create a culture of craft excellence, critical thinking, and continuous learning
• Establish scalable design systems and processes

Drive End-to-End Product Design

• Own the design of mobile-first and web-based products from concept to execution
• Create flows and prototypes grounded in strong UX principles
• Balance speed and quality in a fast-moving, impact-driven environment

User Research & Field Learning

• Lead user research across diverse geographies and communities
• Conduct usability testing, field visits, and participatory design exercises and enable junior designers to do the same
• Translate insights into product decisions grounded in real user behavior

Cross-functional Collaboration

• Work closely with Product, Engineering, and Operations teams to ship impactful solutions
• Bridge the gap between product thinking and community realities
• Work closely with the Design Researcher to design user research studies

Experimentation & AI-driven Design

• Explore and integrate AI-assisted design workflows into product development
• Design for human-in-the-loop systems and AI-enabled platforms
• Continuously experiment with new approaches to improve accessibility, efficiency, and impact

What We’re Looking For

Experience & Skills

• 5-7 years of experience in product design, with experience leading designers
• Strong portfolio demonstrating work across mobile and web applications
• Deep understanding of UX principles, interaction design, and visual design
• Hands-on experience with user research and usability testing
• Proven ability to collaborate across disciplines

Mindset & Orientation

• Strong bias toward building for inclusion, not just scale
• Sensitivity to the needs of low-resource and underserved communities
• Curiosity about language, culture, and how people interact with technology in constrained contexts
• Comfort working in ambiguity and translating complex problems into simple, usable solutions
• Interest in AI, ethical data systems, and human-centered AI workflows

Nice to Have

• Experience designing for multilingual or regional-first products
• Exposure to low-bandwidth or offline-first design patterns
• Experience working with field teams, NGOs, or community-driven programs
• Familiarity with AI products or human-in-the-loop systems

What We Offer

• Flexible leave and vacation policy

• Remote / hybrid work options

• Insurance as per industry standards

• Access to leaders in technology and social impact

• Meaningful work at the intersection of AI, design, and equity

Karya celebrates diversity and is an equal opportunity employer. All applicants will be considered without regard to race, religion, gender identity, sexual orientation, disability, or any other protected status.

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.

The Team
Technology has long been essential ingredient to our success, and as an associate in quantitative research development team, you will be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you will be responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and systematic investing that powers AQR.

Your Role:

•As an associate in quantitative research development team, you will build or extend our

•Global asset signal, data and risk estimation infrastructure incorporating millions of data points.

•Intuitive research APIs leveraging cloud computing and cutting-edge visualizations.

•High-performance historical simulation/back testing engine for vetting new alpha strategies.

•Bespoke technology solutions that satisfy the needs of specific asset classes and research needs

•Partner with not only local but also global team of research engineers for successful product delivery

What You’ll Bring:

•BS/MS/PhD in Computer Science, Computational Finance, Data Science, or related discipline
•At least 5+ years of experience as a quantitative developer, preferably in the financial services industry.
•Outstanding communication, coding, debugging, and analytical skills.
•Strength in pragmatic design and deploying applications using Linux/Docker/Python.
•An interest in quantitative finance (no finance / trading experience required).

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 with more than 125 Bn$ of asset under management.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 Team Lead Software Engineer in Portfolio Implementation, you will combine deep hands-on technical contribution with responsibility for leading engineers, owning critical systems, and delivering on firmwide objectives. Reporting to an MD-level manager, you will set technical direction, drive execution, and ensure the team consistently delivers high-quality, reliable systems that support AQR’s investment process.

Your Role:

As a Team Lead Software Engineer in Portfolio Implementation, you will have end-to-end responsibility for both technical outcomes and team execution, including:

•Owning critical portfolio implementation systems and services, with accountability for reliability, performance, and long-term evolution
•Leading architectural design for high-performance, high-volume, highly available systems, making informed trade-offs across performance, flexibility, and maintainability
•Remaining hands-on in design and implementation, contributing meaningful production code and setting technical standards by example
•Leading and coordinating teams of engineers, potentially organized into multiple sub-teams, with responsibility for delivery across a group of engineers, including planning, prioritization, and execution across multiple workstreams
•Driving delivery of large, cross-team initiatives aligned with firmwide objectives and timelines
•Leading requirements gathering and specification, translating business and investment needs into clear technical plans
•Breaking down complex initiatives into well-scoped workstreams, with realistic sequencing and dependencies
•Driving estimation and delivery planning, balancing scope, risk, and available resources
•Ensuring alignment between resource forecasting and delivery commitments, adjusting plans as priorities evolve
•Ensuring strong engineering practices across the team, including code quality, design reviews, testing standards, and operational readiness
•Coaching and mentoring junior and mid-level engineers, ensuring they understand and apply best practices in software development
•Partnering closely with portfolio managers, researchers, and platform teams to align technical solutions with investment needs
•Reporting progress, risks, and delivery status clearly and proactively to MD-level leadership
•Identifying and addressing process gaps, technical debt, and operational risks across owned system

What You’ll Bring:

•Degree in Computer Science or a related technical field
•10+ years of professional software engineering experience, with deep expertise in Java
•Strong experience using Python in production or research-adjacent environments
•Proven track record of owning and operating complex, distributed systems in production
•Experience with microservice-based architectures using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
•Demonstrated ability to lead teams while remaining technically hands-on
•Strong understanding of engineering best practices, including code quality, testing strategies, CI/CD, design documentation, and operational excellence
•Experience operating, tuning, and profiling high-performance systems
•Experience with observability and monitoring platforms (e.g., New Relic) and using metrics to drive reliability and performance
•Strong experience in requirements capture, technical specification, and work breakdown for complex systems
•Proven ability to estimate effort, plan delivery, and manage trade-offs across scope, timeline, and resources
•Solid understanding of how resource planning, capacity, and delivery execution interrelate in a multi-team environment
•Interest in financial markets and the investment process; hands-on domain knowledge in this area is a strong plus but not required

Who You Are:

•A hands-on technical leader who takes ownership of systems, processes, and outcomes
•Comfortable driving delivery through others, setting clear direction and holding teams accountable
•Able to operate effectively with MD-level stakeholders, providing clear status, risks, and trade-offs
•Skilled at balancing short-term delivery with long-term system health
•Committed to developing engineers through mentoring, feedback, and example
•Collaborative, pragmatic, and decisive in complex environments
•Committed to intellectual integrity, transparency, and openness    

About AQR Capital India

AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate the factors that matter most, and by developing ideas that stand up to rigorous testing. By putting theory into practice, we have become a leader in alternative strategies and an innovator in traditional portfolio management since 1998.

At AQR India, our employees share a common spirit of academic excellence, intellectual honesty and an unwavering commitment to seeking the truth. We’re determined to know what makes financial markets tick – and we’ll ask every question and challenge every assumption. We recognize and respect the power of collaboration, and believe transparency and openness to new ideas leads to innovation.

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 outputs, perform constrained optimizations, and generate orders
Cloud-based microservices engineered to run reliably and efficiently at scale
Participate in architectural design discussions for high-performance, high-volume, highly available systems, gaining experience with trade-offs across performance, flexibility, and maintainability
Bespoke technology solutions tailored to specific asset classes and evolving research needs
Collaboration with a global team of researchers, portfolio managers and engineers for successful product delivery

What You’ll Bring

Degree in Computer Science or a related technical field
3+ years of professional programming experience with strong proficiency in Java
Python experience is a strong plus, particularly for research integration and tooling
Strong software design skills and the ability to translate design concepts into high-quality, maintainable code
Excellent analytical thinking and problem-solving abilities
Clear and effective communication skills
Interest in financial markets and the investment process
Experience operating microservice-based architectures and building scalable, distributed systems, using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
Strong engineering best practices, including attention to code quality, peer code reviews (PRs), automated testing, and test coverage
Experience operating, tuning, and profiling high-performance systems in production environments
Experience with observability and monitoring platforms (e.g., New Relic) is a strong plus

Who You Are:

Take strong ownership of your work, with the drive to see initiatives through from idea to completion
Comfortable leading change, overcoming obstacles, and navigating ambiguity to deliver results
Naturally collaborative, thoughtful, and effective in a team-oriented environment
Hard-working, curious, and eager to learn in a fast-paced setting
Committed to intellectual integrity, transparency, and openness

The Overview 

At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users but to ask, “what more can we make possible?” 

Our User Research team is a critical partner in this mission, responsible for driving research that uncovers deep insights and shapes our product and company strategy. As a Staff User Researcher, you will work with a globally distributed team to apply your craft and expertise across a range of products and services. You will tackle complex research questions, delivering insights that ensure we are solving the right problems for our customers.

The Finer Print 

As a Staff UX Researcher in India, you will lead and establish user research efforts locally, embedding UXR practices within our growing India-based cross-functional teams and taking ownership of high-impact research initiatives for a key Okta product area. This is a unique opportunity to promote and cultivate a user-centered culture, guiding local product, design, and engineering partners who are new to direct collaboration with UX research. You will work closely with these local teams daily, while also collaborating effectively with your global UXR colleagues and stakeholders. Your research will directly inform critical decisions, contributing to both the product's long-term vision and near-term development. You will be instrumental in establishing research operations in India, ensuring that foundational and evaluative insights are effectively leveraged to drive exceptional user experiences.

In this role, you have the opportunity to:

• Champion user-centered best practices and build strong, trusted relationships with product, design, and engineering leaders within our growing Bangalore office
• Drive collaborative research initiatives with cross-functional teams and guide them in leveraging insights to inform decisions and foster a culture of curiosity
• Communicate complex insights clearly and persuasively to diverse audiences across all levels and time zones, ensuring seamless alignment within our global team
• Utilize LLMs (e.g., ChatGPT, Claude) to accelerate end-to-end research workflows, from literature reviews and transcript analysis to report drafting.
• Synthesize insights at scale by leveraging AI-augmented repositories and tools across multiple concurrent projects, without sacrificing research rigor.
• Establish and refine UX research processes, operational frameworks, and supporting tools tailored to the needs of the Bangalore office, aligning with our global UX Research standards
• Build and manage key research operations, including leading APAC participant recruitment efforts and collaborating with our global UX Research Operations team to optimize our Dovetail research repository for local stakeholders

• Lead end-to-end research initiatives, expertly applying a flexible range of methodologies (generative and evaluative) to illuminate customer needs and deliver high-impact insights that drive product growth
• Share your expertise and insights with the global UX Research team, and play a pivotal role in building UX Research capacity within the Bangalore office as the team grows
• Access global learning resources and collaborate with experienced researchers worldwide to continuously enhance your skills

Who We Are Looking For

• Demonstrated ability to effectively introduce and integrate UX Research into teams with limited prior exposure, clearly articulating its value and driving buy-in
• Experience thriving in a remote, globally distributed team environment, with a proven ability to manage asynchronous communication, maintain alignment across different time zones, and build strong rapport and influence with remote stakeholders across cultures
• You possess a proven ability to critically evaluate AI-generated outputs for bias, hallucinations, and gaps; you know when to trust, refine, or override AI and can articulate that judgment.
• A proactive and highly self-driven approach, with a proven ability to independently identify research opportunities, define scope, and successfully project manage complex initiatives end-to-end, consistently delivering high-quality insights on time and within scope
• Resourcefulness in navigating ambiguity and establishing new processes and tooling where needed
• Proven experience as an embedded UX Researcher with deep expertise in applying a wide range of methodologies (e.g., usability studies, contextual inquiry, surveys) to identify and elevate user needs, driving valuable product outcomes
• Able to translate business problems into human-centered research questions, applying your technical understanding to inform company goals
• Exceptional proficiency in communicating complex research findings and insights, adeptly tailoring presentations and guiding collaborative sessions with diverse cross-functional partners and senior leadership to drive alignment and informed decisions
• Experience with products made for developers, administrators, or other technical audiences
• Strong decision-making and problem-solving capabilities while working with constraints
• Empathy for users and a passion for understanding technical experiences
• Experience working on security products is a plus
• A proactive and curious mindset with a dedication to continuous professional development, and a proven ability to contribute positively to the team's research culture and skill set

Qualifications:

• 8+ years of experience in a User Research or related role, with a strong digital portfolio demonstrating end-to-end research on shipped B2B or enterprise SaaS products. (A portfolio is required for consideration).
• Practical experience using LLMs to accelerate research workflows, with specific examples of measurable impact on project timelines or scale.
• Expertise in a wide range of qualitative and quantitative research methods.
• A Master’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, or a related field is preferred.

P10891_3414578

• #LI_Hybrid

Junior Quant Developer — Backtesting, Simulation & Research, Productionise Research (C++/Python)

Role Overview

We’re hiring a junior Quant Developer to help productionise research into robust, high-performance trading systems. You’ll work closely with Quant Researchers and senior engineers to convert Python research code into production C++, build and optimise backtesting / simulation infrastructure, and support strategy development using L3 market data across multiple venues.

This is a hands-on, engineering-heavy role in a fast-moving environment: you’ll own components end-to-end and contribute directly to research velocity and trading PnL.

Key Responsibilities

• Productionise research models into C++: translate Python prototypes into efficient, maintainable C++ production code.
• Backtesting & simulation: build and improve simulation systems that reflect real market mechanics (order book, fills, cancels, exchange rules).
• L3 market data handling: ingest and process high-volume tick/order-level feeds; create reliable feature pipelines from raw exchange data.
• Performance optimisation: improve latency and throughput of backtests/sims (profiling, memory optimisation, data structures, parallelism where appropriate).
• Research support tooling: create utilities for data inspection, experiment tracking, run orchestration, and post-trade analytics in Python.
• Debugging & correctness: investigate mismatches between simulation and production behaviour; diagnose edge cases and implement fixes with strong test coverage.
• Cross-team collaboration: work daily with researchers and infra/exec engineers to ship improvements from idea → test → production.

Requirements

• Education: Bachelor’s or Master’s from a top university in Computer Science, Engineering, Math, Physics, or similar.
• 0-3 years experience in quantitative finance or other relevant data-intensive industries working with C++
• Strong working knowledge of C++ (memory, ownership, STL, performance-aware coding).
• Experience: demonstrable evidence of hands-on systems work in C++ handling large-scale data (internships, research labs, competitive projects, open-source).
• Comfortable with Python for analysis, tooling, and debugging (pandas/numpy/Jupyter a plus).
• Exposure to quantitative finance, eg through internships/university societies, including market microstructure and L3/order book data.
• Clear “builder mindset”: you like owning problems end-to-end, shipping incrementally, and iterating quickly.

Independently manage direct sourcing for multiple hard-to-fill L7+ recruitment positions, thereby supporting Coupang in hiring the talent it needs to meet its business objectives.

AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

Our traders execute lightning-fast algorithmic strategies based on patterns in market behavior in over 150 markets worldwide. As a Quantitative Trader, you’ll draw upon your computer science, mathematical, and analytical abilities to develop complex and nimble code used to grow our business and increase the efficiency of the global financial markets. 

AlphaGrep seeks a Quantitative Trader to join our Bengaluru office and execute strategies based on market behavior. 

Responsibilities

• Identify, maintain, and enhance trading strategies and business opportunities for our market making Algorithmic trading teams
• Use systematic and data-driven approach to identify areas of improvement for existing strategies
• Take P&L responsibility and drive what new frameworks need to be developed by the team to enhance the P&L in respective markets.
• Financial model construction, back-testing, maintenance and improvement
• Monitor and evaluate how strategies interact with evolving market microstructure, identifying behavioural gaps, execution inefficiencies, and edge cases that impact performance
• Conduct opportunity landscape assessments across a diverse set of strategies to provide the team with clear, data-backed direction on where to prioritise focus and allocate resources
• Perform post-trade analysis and strategy attribution to distinguish between structural alpha decay, market regime changes, and implementation shortfalls
• Monitor real-time trading activity and intervene where necessary to manage drawdowns, exposure limits, and anomalous strategy behaviour, translating live observations and patterns into actionable insights to continuously refine and improve strategy performance
• Contribute to the continuous improvement of internal tooling, analytics platforms, and reporting infrastructure to support faster and more rigorous decision-making

Qualifications

• 2-4 years experience working in High Frequency Trading preferred
• Bachelors/Masters/PhD degree in related fields from top tier institute
• Experience with Data Analysis, Market Research and Data Modelling (a plus)
• Software development experience, preferably in C++, Python or R/Matlab
• The ability to manage multiple tasks in a fast-paced environment
• Strong communication skills
• A working knowledge of Linux/Unix

Why You Should Join Us 

• Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals
• Transparent Structure. Our employees know that we value their ideas and contributions
• Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees

AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

Our traders execute lightning-fast algorithmic strategies based on patterns in market behavior in over 150 markets worldwide. As a Quantitative Trader, you’ll draw upon your computer science, mathematical, and analytical abilities to develop complex and nimble code used to grow our business and increase the efficiency of the global financial markets. 

AlphaGrep seeks a Quantitative Trader to join our Bengaluru office and execute strategies based on market behavior. 

Responsibilities

• Identify, maintain, and enhance trading strategies and business opportunities for our market making Algorithmic trading teams
• Use systematic and data-driven approach to identify areas of improvement for existing strategies
• Take P&L responsibility and drive what new frameworks need to be developed by the team to enhance the P&L in respective markets.
• Financial model construction, back-testing, maintenance and improvement
• Monitor and evaluate how strategies interact with evolving market microstructure, identifying behavioural gaps, execution inefficiencies, and edge cases that impact performance
• Conduct opportunity landscape assessments across a diverse set of strategies to provide the team with clear, data-backed direction on where to prioritise focus and allocate resources
• Perform post-trade analysis and strategy attribution to distinguish between structural alpha decay, market regime changes, and implementation shortfalls
• Monitor real-time trading activity and intervene where necessary to manage drawdowns, exposure limits, and anomalous strategy behaviour, translating live observations and patterns into actionable insights to continuously refine and improve strategy performance
• Contribute to the continuous improvement of internal tooling, analytics platforms, and reporting infrastructure to support faster and more rigorous decision-making

Qualifications

• Bachelors/Masters/PhD degree in related fields from Top tier institute
• Experience with Data Analysis, Market Research and Data Modelling (a plus)
• Software Development experience, preferably in C++, Python or R/Matlab
• The ability to manage multiple tasks in a fast-paced environment
• Strong communication skills
• A working knowledge of Linux/Unix

Why You Should Join Us 

• Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals
• Transparent Structure. Our employees know that we value their ideas and contributions
• Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees

Who we are

Our mission is to help developers and AppSec teams spend more time accelerating development and less time dealing with security issues. Watch our 3 min pitch from our Founder & CEO here: https://www.youtube.com/watch?v=B0wmZBcPkFE

Endor Labs has been recognized as a Gartner Cool Vendor, a RSA Innovation Sandbox finalist, and a Black Hat Innovation Spotlight finalist, all in its first year from launch.

The company was founded by Varun Badhwar and Dimitri Stiliadis, who have created multiple category-defining cloud security companies. We have raised $70M in Series A funding and assembled a team of the world’s leading static analysis experts and enterprise software veterans to increase developer productivity and open source software adoption.

What you’ll do

• The primary tasks of this position relate to the broad field of software vulnerability research, i.e. the discovery and evaluation of security vulnerabilities in first- and third-party software components. The focus clearly lies on application security, in contrast to network security, cryptography or other security fields.
• The tasks comprise, for example, the detection of 0-day vulnerabilities in open source projects, the development of exploit code and PoCs for known vulnerabilities, the evaluation and comparison of security tools, the detection of malicious open source components, or the development, configuration and use of SAST or DAST tools.
• One specifically important task includes the oversight (and possible extension) of Endor Labs’ vulnerability database and ingestion process, to ensure the timely production of accurate advisories by our third-party suppliers, and their ingestion by our cloud platform.
• All those tasks include the opportunity to present novel research at security conferences or other events, and – more generally – participate in dissemination and communication efforts, e.g. through the writing of blog posts or technical reports/whitepapers.

What we're looking for 

• Bachelor's degree in engineering with at least 5 years of experience in application security
• Programming experience (Go, Java, JS, Python)
• Understanding of software weaknesses and vulnerabilities
• Experience in configuring and operating security tooling (SCA, SAST, etc.)
• Understanding of industry standards in the field (CVE, EPSS, etc.)

Nice to have

• Experience in developing own security tools or SAST rules
• Understanding of software supply chains and their attack surface
• Publicly reported 0-day vulnerabilities
• Experience in malware detection and analysis
• Security certification like OffSec Certified Professional (OSCP) or Certified Ethical Hacker (CEH)

At Endor Labs, we:

• Strive for excellence in everything we do, prioritizing quality, speed, and impactful outcomes.
• Engage in first principles thinking to debate ideas, test assumptions, and make decisions.
• Put data above opinions, seeking truth and clarity in all our endeavors.
• Embrace a culture of feedback and continuous improvement, assuming good intent in all interactions.
• Celebrate wins as a team, understanding that our collective success is intertwined with the success of our customers.

HFT Software Developer – Junior & Senior Levels

About DeepFin Research

DeepFin Research is a proprietary high-frequency trading (HFT) firm powered by cutting-edge Deep Learning (DL) and Deep Reinforcement Learning (DRL). We've brought on teammates from Nvidia, DeepMind, CitSec, Graviton, Tower, Jump, and others, and are aggressively working across cutting edge AI research and traditional quant research methods to monetise our AI generated signals across the global financial markets.

The Role

We are looking for exceptional HFT software engineers to build our HFT trading infrastructure across global finanacial markets, including different asset classes, end-to-end from the ground up. This will include working across connectivity, market data, execution, risk, and building high performance high throughput C++ systems.

Responsibilities

• Design, implement, and optimize ultra-low-latency, zero-allocation trading engines in modern C++.
• Develop and maintain market data handlers and execution gateways utilizing protocols like FIX, OUCH, ITCH, and raw UDP multicast.
• Optimize system critical paths through OS-level tuning, CPU pinning, cache-line optimization, and NUMA-aware programming.
• Interface with hardware-accelerated components, working alongside FPGA engineers to integrate PCIe/DMA data pipelines.
• Implement kernel-bypass networking solutions (e.g., Solarflare OpenOnload, DPDK) to minimize network stack latency.
• Collaborate directly with AI researchers and quantitative traders to deploy complex quantitative models into strict, latency-sensitive production environments.
• Work end-to-end on projects from the ground up – this is not a role to focus on specialised parts of the infrastructure stack, but rather to see projects through end-to-end.

Ideal Candidate Profile

• 1–3 years of experience in low-latency software engineering for Junior candidates; 3–10+ years for Senior candidates.
• Exceptional expertise in C++ with a deep understanding of lock-free data structures, custom memory allocators, and hardware architecture.
• Proven experience building systems in HFT or highly concurrent, real-time computing environments.
• Strong grasp of Linux internals, network programming (TCP/IP, UDP), and performance profiling tools (e.g., perf, VTune).
• Solid understanding of futures markets microstructure; exposure to FX and options markets is a strong plus.
• Entrepreneurial mindset with the communication skills required to thrive in a fast-paced, highly collaborative environment, preferring end-to-end ownership over extreme specialization.

HFT Quantitative Developer

About DeepFin Research

DeepFin Research is a proprietary high-frequency trading (HFT) firm powered by cutting-edge Deep Learning (DL) and Deep Reinforcement Learning (DRL). We've brought on teammates from Nvidia, DeepMind, CitSec, Graviton, Tower, Jump, and others, and are aggressively working across cutting edge AI research and traditional quant research methods to monetise our AI generated signals across the global financial markets.

The Role

We are looking for exceptional quantitative developer with outstanding expertise at the intersection of quantitative research and C++ development to focus both on simulation and productionisation. This will include designing and building simulation across various financial markets, and taking high-frequency and mid-frequency alpha turning it into scalable, production-grade PnL across global exchanges.

Key Responsibilities

• Productionise research models into high-performance C++ systems used for live trading across multiple futures exchanges.
• Integrate and process L3/order-book data at scale, building and maintaining parsers, normalised book structures, and data pipelines.
• Develop and optimise execution logic, order placement strategies, queue-positioning logic, microstructure-aware order types, and latency-sensitive workflows.
• Collaborate closely with quant researchers to understand signals, model assumptions, and expected behaviours, ensuring seamless transition from prototypes into production code.
• Work with infra/engineering teams to deploy, monitor, and refine strategies in live environments; diagnose latency bottlenecks, instability, and performance drift.
• Build and maintain simulation/backtesting tools for microstructure-accurate evaluation of execution behaviour.
• Optional (desirable): support vol surface modelling, options execution logic, and cross-asset HFT monetisation.

Required Experience & Skills

• Must have Experience in HFT market making. 
• Outstanding C++ and Python expertise.
• Experience working with L3 and order-book data, market-data adapters, and high-throughput feed handling.
• Experience productionising HFT or mid-frequency strategies in live environments.
• Understanding of market microstructure: queue dynamics, adverse selection, order types, latency paths, tick-rule details.
• Ability to operate across both research and engineering disciplines: reading model code, understanding signals, and implementing robust production systems.
• Options experience is desirable
• FPGA experience is desirable

HFT Options and Volatility Trading Research

About DeepFin Research

DeepFin Research is a proprietary high-frequency trading (HFT) firm powered by cutting-edge Deep Learning (DL) and Deep Reinforcement Learning (DRL). We've brought on teammates from Nvidia, DeepMind, CitSec, Graviton, Tower, Jump, and others, and are aggressively working across cutting edge AI research and traditional quant research methods to monetise our AI generated signals across the global financial markets.

The Role

We are looking for exceptional high frequency trading researchers in the options space to monetise our AI driven signals in the global options markets, working in an exceptional team of options researchers.

Responsibilities

Volatility Surface & Pricing Models

• Design, implement, and calibrate ultra-fast vol surface models for equity and index options (e.g., SVI, SABR, Vanna-Volga).
• Integrate models into live trading systems for real-time fitting and quoting.
• Collaborate with quant devs to optimize model performance and stability across exchanges.

Market Making & Execution Research

• Develop and refine high-frequency quoting, hedging, and execution algorithms.
• Optimize order placement, queue position, and fill rates to reduce adverse selection and slippage.
• Strategy Development: Design and backtest systematic intraday strategies specifically targeting equity options, focusing on mean reversion, momentum, and premium decay.
• Analyze market microstructure and order-book dynamics to improve execution logic.

Realized Volatility & Signal Forecasting

• Build and enhance short-horizon realized volatility and spread forecasting models.
• Use high-frequency tick data to identify predictive microstructure and volatility patterns.

Risk & P&L Analytics

• Design real-time delta/gamma/vega hedging frameworks and risk dashboards.
• Dynamic Gamma Hedging: Build automated hedging frameworks to manage the non-linear risks of 0DTE portfolios, optimizing the trade-off between transaction costs and tracking error.
• Conduct PnL decomposition, tracking contributions from alpha, execution, and carry.
• Backtest strategies with realistic latency and cost models.

Ideal Candidate Profile

• Mandatory: Direct experience in high-frequency options trading - preferably market making on equity or index options.
• 5–7 years’ experience in a quant research or trading role at an HFT, prop firm, or leading options market maker.
• Deep understanding of options pricing, Greeks, and market microstructure.
• Experience with vol surface modeling (SVI, SABR, stochastic vol) and real-time model calibration.
• Proven background designing and testing execution logic and hedging systems in production.
• Strong programming ability in C++ and Python; experience with low-latency systems is a plus.
• Advanced degree (Master’s or PhD) in Mathematics, Physics, Statistics, Computer Science, or a related field.

About the Role

• Do you have a strong background and/or are actively passionate about offensive security and threat intelligence
• Do you love to explore complex technical findings for diverse stakeholders, from SOC teams to CXOs and have excellent communication & presentation skills to drive home business impact from these with confidence in high-stakes engagements.
• Are you hands-on with AI-driven automation in scaling your technical capacity?
• Do you love taking end-to-end responsibility for outcomes and thrive in a fast-paced, dynamic, self-driven and high-volume consulting environment?

Note: People from red - teaming background will be preferred.

CloudSEK’s Security Consulting Threat Research & Intelligence for Key Enablement (STRIKE) Division operates at the intersection of threat research, consulting, and business enablement. As a Security Consultant for the US market, you will wear multiple hats: a trusted technical advisor during trials, a threat researcher uncovering insights tailored to regional risks, a consulting partner driving adoption through clear business impact to help position CloudSEK to our client partners as a strategic ally in their cyber resilience journey, and a community builder to expand CloudSEKs footprint and visibility in the region.

Key Responsibilities

• Technical Value Translation
• Lead new business trials and proof-of-capability (POC) engagements, ensuring successful demonstration of technical outcomes and translation of business impact by presenting CloudSEK’s AI-driven predictive threat intelligence and infrastructure security capabilities to executives and security teams, bridging technical depth with business relevance.

• Threat Research & Regional Intelligence
• Proactively track the Cyber Threat Landscape for the region.
• Investigate and track region-specific threats in the US across telecom, BFSI, and enterprise sectors.
• Produce custom intelligence briefs, RFP responses, and exposure reports that highlight CloudSEK’s proactive value.

• Partner Ecosystem Support
• Collaborate with partner security consultants to deliver onboarding, enablement, and co-selling activities.
• Act as a regional subject matter expert (SME) for partners, contextualizing CloudSEK’s value within the US threat landscapes.

• Thought Leadership & Outreach
• Proactively build the CloudSEK community in the region by participating, contributing to as well as initiating and driving community events.
• Contribute to CloudSEK’s lead generation efforts by creating research-driven reports and customer-facing intelligence insights.
• Represent CloudSEK at regional forums, webinars, and customer workshops, strengthening brand credibility.

Requirements

• Experience in Cybersecurity & Business-Oriented Consulting: Proven ability to lead and execute technical engagements (e.g., POCs, trials) and translate complex security concepts into clear business value for executives and technical teams.
• Expertise in Threat Intelligence and Research: Strong background in proactive cyber threat research, with specific knowledge of regional threat landscapes, particularly in the US region. Must be adept at producing custom intelligence briefs and insightful reports.
• Cross-Functional Collaboration and Partner Management: A collaborative mindset with experience working with and enabling a partner ecosystem. Must be a subject matter expert capable of supporting partners in co-selling and contextualizing solutions for regional markets.
• Demonstrated Thought Leadership and Communication Skills: A track record of creating research-driven content and insights for lead generation. Excellent public speaking and presentation skills to represent the company at regional events, webinars, and customer workshops.
• Proactive and Self-Driven: A highly motivated individual who can proactively identify, investigate, and address security threats, and take the initiative to build and grow the company's community and brand presence in the target region.