About Us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About the position

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include:

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Prior experience working in a data-driven role

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

About us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About The Position 

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include: 

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For 

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Comfortable operating in a frenetic, high-stakes environment
• Prior experience working in a data-driven role 

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

The Site Reliability Engineering team at IMC Trading is focused on the scalability and reliability of our trading systems.

We are responsible for the operations of real-time systems, providing fast and effective incident response to keep IMC trading in the market. We work closely with traders and software developers to define short and long term improvements that make our trading systems easier to operate and more scalable. In the process, we build an understanding of IMC’s trading strategies and software stack and apply automation that allows everyone to move fast, safely.

Your Core Responsibilities:

• Provide continuity, stability, and reliability of the Korean trading production environment.
• Ensure continuity of critical trading operations, prioritising resolution of system issues with a sense of urgency: you will be the first layer of response, and will need to triage and resolve / escalate issues under time pressure.
• Support and monitor trading systems, proactively addressing problems before they are noticed
• Partner with technology and trading teams to continually evolve and deploy system architecture
• Define and own improvements to our systems and make sure they are delivered, whether by the SRE team, our dev teams or trading teams
• Making sure that quick fixes are turned into lasting solutions
• Support and oversight on corporate infrastructure where required
• Liaise with vendors for IT related tasks and problem resolutions

Your Skills and Experience:

• Fluent in English both verbal and written is a must.
• Fluent in Korean both verbal and written is a strong advantage.
• Tertiary qualifications in engineering, computer science or equivalent.
• 5+ years of experience, including 3+ years of experience in Site Reliability Engineering, Systems Integration, or a related role
• 3+ years of hands-on professional experience with Linux operating systems, network configuration, containers and orchestration tools, including Kubernetes
• Proficiency in Python and Bash is required, experience with Go, Java and C++ are desirable

IMC is seeking experienced Quantitative Traders to drive the monetisation of high to mid-frequency delta-one trading strategies within the APAC markets. In this role, you will harness your expertise to develop and execute profitable systematic trading strategies that deliver measurable results. Joining our dynamic and growing research and trading team, you’ll collaborate closely with quant researchers, software engineers, and hardware engineers to uncover opportunities, optimize performance, and enhance our production outcomes.

IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.

Your Core Responsibilities:

• Develop and deploy high to mid-frequency systematic trading strategies, with a focus on APAC equities markets.
• Identify and exploit inefficiencies in financial markets, optimizing trade selection and minimizing market impact.
• Design and implement execution algorithms that account for market microstructure and dynamic liquidity conditions
• Manage and optimize risk exposures in line with the firm's risk tolerance and trading objectives.

Your Skills and Experience:

• Degree in a quantitative field such as Mathematics, Physics, Computer Science, Engineering, or Economics.
• 4+ years experience in quantitative trading with specific experience in the high to mid-frequency delta-one space, ideally within APAC markets.
• Strong programming skills in at least one language (python strongly preferred).
• Strong understanding of financial markets, market microstructure, and trading systems.
• Experience in modelling market impact, with a deep understanding of order book dynamics, and liquidity provision
• Experience building predictive models for order placement, timing, and sizing to reduce adverse selection and slippage.
• Strong data analysis skills, including working with large-scale financial datasets and tick-level data.
• Excellent problem-solving skills, with the ability to thrive under pressure and adapt to changing market conditions.

About Us

AIFT is at the forefront of AI safety and security, developing cutting-edge solutions, Vulcan Attack (automated vulnerability assessment/red teaming) and Vulcan Protect (real-time monitoring), to ensure AI systems are robust, trustworthy, and aligned with societal needs.

Our Product

Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. 

Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM & GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. 

The Role

We are seeking a passionate and highly skilled GenAI Security Researcher to join our team. You will conduct applied and theoretical research into AI vulnerabilities, attack/defense methods, and security/safety benchmarking. Your work will directly shape our AI safety products, contribute to research communities, and influence industry standards and regulations.

What You'll Do

• Research: Investigate adversarial attacks, data poisoning, prompt injection, jailbreaks, and other AI system vulnerabilities in multi-modalities (e.g., text, image, video, and audio). Design and evaluate mitigation strategies, including fine-tuning, guardrails, content filtering, and robust model architectures.
• Benchmarking: Develop and maintain AI security evaluation frameworks, datasets, and performance metrics.
• Collaboration: Partner with product and partnership teams to integrate the findings into our AI security solutions.
• Dissemination: Publish findings in top-tier conferences and journals, present at industry events, and contribute to open-source initiatives.

What We're Looking For

• Research skills: Advanced degree (e.g., MSc/PhD) with strong analytical thinking, problem-solving skills, and ability to translate research into practical solutions.
• Knowledge: Deep understanding of relevant techniques, such as generative AI, security & privacy, computer vision, signal processing, and human-computer interaction.
• Communication skills: Clearly explain complex concepts in layman's terms.
• Proficiency in English: Write and read documents, communicate with team members in English.
• Teamwork: Work closely with our members to deliver value.
• Agility: Adapt quickly to changing research priorities and emerging AI security threats.
• Coding skills: Proficiency in Python and experience with experimentation.

Nice to Have

• Publication record in top-tier journals and conferences in AI, security & privacy, computer vision, signal processing, and human-computer interaction.
• Experience with white-hat hacking and security tools.
• Familiarity with industry frameworks, such as OWASP Top 10 LLM, MITRE ATT&CK, and security standards.
• Proficiency in multiple languages.

Why Join Us

• Solve high-impact AI security challenges shaping the future of trustworthy AI.
• Collaborate with world-class researchers and engineers in a mission-driven environment.
• Competitive compensation, flexible working arrangements, and professional growth opportunities.

How to Apply

• Submit your English CV containing education and work experience with a publication list (underline your name in the author list).