About G-20 

The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. 

Role Overview 

As an Options Trader at G-20 Group, you will be responsible for managing a discretionary options portfolio across a number of asset classes. You will work with a team of traders, quantitative analysts, and developers to generate superior risk-adjusted returns for the firm. This role offers a unique opportunity to contribute to the growth of a highly successful trading firm in a fast-paced and dynamic environment.

Key Responsibilities 

• Develop, implement, and optimize options trading strategies across global markets.
• Analyze market data and leverage quantitative models to identify profitable trading opportunities.
• Monitor and manage risk exposures, ensuring strategies align with risk management protocols.
• Collaborate with data scientists, quants, and other traders to refine and improve trading algorithms and strategies.
• Stay up-to-date on market trends, news, and economic events that could impact options prices and volatility.
• Execute trades and manage positions effectively, ensuring optimal execution and liquidity.
• Contribute to the continuous improvement of G-20 Group’s trading systems and technologies.

• Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university.
• Strong background in options trading with a solid understanding of the options market and strategies.
• Proven track record of generating consistent profits (PnL >$2m for more than 3 years).
• Experience with quantitative trading and the ability to apply data analysis to trading decisions.
• Strong knowledge of financial markets, particularly options pricing, volatility, and risk management.
• Exceptional analytical and problem-solving skills with the ability to make quick, data-driven decisions.
• Excellent communication and teamwork skills, with the ability to collaborate effectively across teams.
• A results-driven, proactive, and self-motivated approach.

Preferred / Desirable Experience 

• Proficiency in programming languages such as Python, C++, or similar (preferred). 

 

Right to work: This role can be based from our London, New York or Chicago offices. Only candidates who possess the pre-existing right to work in London or the US without requiring company sponsorship need apply.  

Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector. 

About G-20 

The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. 

Role Overview 

We are hiring for a motivated Smart Contract Engineer with responsibility for the design, development, and ownership of all on-chain components, including operator registration, stake management, fee distribution automation, and the smart contract interfaces utilized by AI agents and trading systems to interact with our markets.

Your work will serve as the foundational trust layer between multiple participants within the ecosystem and as such, is highly security-critical. The smart contracts you develop will manage slashable collateral, automate fee distribution across multiple active markets, and be subject to external audits and public accessibility.

Key Responsibilities 

• Operator Registration & Lifecycle: Build and maintain the end-to-end operator registration flow, including collateral locking, credential submission, and market configuration. Enable seamless addition of new markets without re-registration and ensure clear separation of operator identity and market parameters.
• Stake Management & Slashing: Develop smart contracts for staking, unstaking (with cooldowns), and handling partial/full slashing. Implement co-staker models with fair fee distribution and robust handling of all slashing edge cases.
• Fee Distribution Automation: Automate fee collection and distribution across treasury, co-stakers, and liquidity participants with transparent, auditable, and fully autonomous systems.
• Agent & Bot Interfaces: Design efficient on-chain interfaces for AI agents and trading bots, including batch operations and data queries. Provide well-documented SDKs in Python, TypeScript, and Rust.
• Market Governance: Implement secure governance for updating market parameters, incorporating safeguards such as timelocks, multi-sig approvals, and on-chain auditability.
• Security & Audit Readiness: Ensure audit-ready code with comprehensive testing (including fuzzing and invariants) and support external audits and bug bounty programs.

• Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred
• Strong written and verbal communication skills
• Solidity Expertise: 1+ years of production experience in smart contract development. Strong understanding of the EVM, including gas optimization, storage layout, proxy patterns, and reentrancy protection.
• Foundry Proficiency: Experience using Foundry as a primary development framework, including Forge testing, fuzz testing, invariant testing, and scripted deployments. Demonstrated ability to achieve high test coverage across security-critical code paths.
• DeFi Perpetuals Knowledge: Solid understanding of perpetual futures architecture, including funding rates, mark vs. index pricing, liquidation mechanisms, and auto-deleveraging. Familiarity with design approaches across leading on-chain perpetual protocols.
• Security-Oriented Mindset: Strong awareness of smart contract attack vectors and exploit patterns, including flash loans, oracle manipulation, access control vulnerabilities, and front-running. Experience preparing codebases for external security audits.
• Governance & Access Control: Experience implementing and managing multi-signature wallets, timelock mechanisms, and secure on-chain parameter governance with safe upgrade patterns.
• SDK & Interface Design: Proven ability to design clean and developer-friendly ABIs, emit events for off-chain indexing, write comprehensive NatSpec documentation, and generate typed SDK bindings across multiple programming languages.

Preferred / Desirable Experience 

• Rust smart contracts: Smart contract development in Rust-based environments (Solana, NEAR, CosmWasm).
• Formal verification: Experience with Certora, Halmos, or symbolic execution tools for proving contract invariants.
• Oracle & cross-chain patterns: Understanding of how off-chain data (oracle prices, external state) is delivered to on-chain contracts and the trust assumptions involved.
• RWA tokenisation: Familiarity with tokenised real-world asset protocols and how their collateral types integrate with DeFi margin and lending systems.
• Institutional custody integration: Experience integrating institutional custody solutions (MPC-based or equivalent) for programmatic transaction signing.
  

Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply.  

Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector. 

About G-20 

The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. 

Role Overview 

We are hiring for an experienced, driven Smart Contract Engineer with responsibility for the design, development, and ownership of all on-chain components, including operator registration, stake management, fee distribution automation, and the smart contract interfaces utilized by AI agents and trading systems to interact with our markets.

Your work will serve as the foundational trust layer between multiple participants within the ecosystem and as such, is highly security-critical. The smart contracts you develop will manage slashable collateral, automate fee distribution across multiple active markets, and be subject to external audits and public accessibility.

Key Responsibilities 

• Operator Registration & Lifecycle: Build and maintain the end-to-end operator registration flow, including collateral locking, credential submission, and market configuration. Enable seamless addition of new markets without re-registration and ensure clear separation of operator identity and market parameters.
• Stake Management & Slashing: Develop smart contracts for staking, unstaking (with cooldowns), and handling partial/full slashing. Implement co-staker models with fair fee distribution and robust handling of all slashing edge cases.
• Fee Distribution Automation: Automate fee collection and distribution across treasury, co-stakers, and liquidity participants with transparent, auditable, and fully autonomous systems.
• Agent & Bot Interfaces: Design efficient on-chain interfaces for AI agents and trading bots, including batch operations and data queries. Provide well-documented SDKs in Python, TypeScript, and Rust.
• Market Governance: Implement secure governance for updating market parameters, incorporating safeguards such as timelocks, multi-sig approvals, and on-chain auditability.
• Security & Audit Readiness: Ensure audit-ready code with comprehensive testing (including fuzzing and invariants) and support external audits and bug bounty programs.

• Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred
• Strong written and verbal communication skills
• Solidity Expertise: 3+ years of production experience in smart contract development. Strong understanding of the EVM, including gas optimization, storage layout, proxy patterns, and reentrancy protection.
• Foundry Proficiency: Experience using Foundry as a primary development framework, including Forge testing, fuzz testing, invariant testing, and scripted deployments. Demonstrated ability to achieve high test coverage across security-critical code paths.
• DeFi Perpetuals Knowledge: Solid understanding of perpetual futures architecture, including funding rates, mark vs. index pricing, liquidation mechanisms, and auto-deleveraging. Familiarity with design approaches across leading on-chain perpetual protocols.
• Security-Oriented Mindset: Strong awareness of smart contract attack vectors and exploit patterns, including flash loans, oracle manipulation, access control vulnerabilities, and front-running. Experience preparing codebases for external security audits.
• Governance & Access Control: Experience implementing and managing multi-signature wallets, timelock mechanisms, and secure on-chain parameter governance with safe upgrade patterns.
• SDK & Interface Design: Proven ability to design clean and developer-friendly ABIs, emit events for off-chain indexing, write comprehensive NatSpec documentation, and generate typed SDK bindings across multiple programming languages.

Preferred / Desirable Experience 

• Rust smart contracts: Smart contract development in Rust-based environments (Solana, NEAR, CosmWasm).
• Formal verification: Experience with Certora, Halmos, or symbolic execution tools for proving contract invariants.
• Oracle & cross-chain patterns: Understanding of how off-chain data (oracle prices, external state) is delivered to on-chain contracts and the trust assumptions involved.
• RWA tokenisation: Familiarity with tokenised real-world asset protocols and how their collateral types integrate with DeFi margin and lending systems.
• Institutional custody integration: Experience integrating institutional custody solutions (MPC-based or equivalent) for programmatic transaction signing.
  

Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply.  

Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector. 

About G-20 

The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. 

Role Overview 

We are hiring a motivated Oracle Engineer to join our team, a leading DeFi desk in the sector. In this role you will have end-to-end ownership of the oracle stack, including institutional market data ingestion from co-located data centres, low-latency aggregation, hardware-secured signing, and on-chain submission. 

This function operates within a zero-tolerance environment, where the integrity and accuracy of price submissions are critical. 

Key Responsibilities 

• Low-Latency Data Ingestion: Design and operate a multi-source feed handler architecture to ingest tick-level data from institutional market data providers, exchange direct feeds, and reference rate APIs. Ensure isolation of data sources with independent failure domains, and implement staleness detection, quorum-based validation, and automated failover across redundant data pathways.  
• Price Aggregation Engine: Develop a high-performance aggregation engine in Rust to generate a single reliable price from multiple, potentially divergent data sources. Implement manipulation-resistant statistical methods, outlier filtering, asset-specific confidence thresholds, and automated halting mechanisms when data quality falls below defined standards. Ensure consistent sub-second submission cadence with deterministic latency.  
• Cryptographic Signing & Submission: Implement a secure signing pipeline leveraging hardware security modules (HSMs) to ensure private keys remain within tamper-resistant environments. Integrate pre-submission validation checks against on-chain reference data and design an optimized submission path with minimal network latency.  
• Failover & High Availability: Architect and maintain a resilient multi-site infrastructure with active/standby configurations and automated failover capabilities. Ensure failover occurs within sub-second timeframes without data loss, and implement serverless fallback mechanisms for extreme failure scenarios. Maintain high availability through load-balanced endpoints with session affinity.  
• Monitoring & Incident Response: Establish comprehensive observability frameworks, including real-time monitoring of oracle latency, data source health, and quorum integrity. Implement automated circuit breakers to halt operations under degraded conditions and integrate with a 24/7 incident response and alerting system with clearly defined service level agreements. 

• Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred 
• Strong written and verbal communication skills 
• Rust Development: Proven experience building and operating production systems in Rust with sub-100ms latency requirements. Demonstrated ability to deliver and maintain high-performance Rust applications in live environments.  
• Market Data Infrastructure: Hands-on experience integrating institutional-grade, tick-level market data feeds. Familiarity with FIX protocol, exchange connectivity, and normalization of market data across multiple asset classes, including equities, FX, commodities, and rates.  
• Low-Latency Systems Engineering: Experience designing and operating low-latency systems within co-located data centre environments. Strong understanding of kernel bypass networking, lock-free data structures, and cache-efficient memory design.  
• HSM Integration: Practical experience integrating hardware security modules (HSMs) for cryptographic signing in production environments, including key lifecycle management, rotation policies, and adherence to security standards.  
• Message Streaming Systems: Expertise in high-throughput message streaming architectures, including consumer group management, cross-site replication, and backpressure handling. Experience with technologies such as Redis Streams, NATS JetStream, or equivalent.  
• Operational Reliability: Experience supporting mission-critical systems with strict uptime requirements. Demonstrated ability to implement circuit breakers, develop operational runbooks, and design systems for graceful degradation under failure conditions.  
• Statistical Methods: Strong practical knowledge of robust statistical aggregation techniques, including weighted median, outlier detection, and exponential smoothing, with an understanding of their resistance to manipulation.  

Preferred / Desirable Experience 

• Blockchain Oracle Systems: Experience building or operating oracle systems (e.g., Chainlink, Pyth, or custom implementations), including an understanding of slashing mechanisms and incentive design for price reporting.  
• Real-Time API Infrastructure: Experience developing high-throughput WebSocket and gRPC services for latency-sensitive applications such as trading systems or AI agents.  
• Cloud Infrastructure (AWS): Experience designing and operating high-availability cloud infrastructure, including HSM services, serverless architectures, object storage, and service discovery with health-check orchestration.  
• Traditional Finance Market Microstructure: Understanding of global market microstructure, including trading hours, session boundaries, after-hours pricing, and weekend gap dynamics across asset classes. 

 

Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply.  

Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector. 

About G-20 

The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. 

Role Overview 

We are hiring an experienced Oracle Engineer to join our team, a leading DeFi desk in the sector. In this role you will have end-to-end ownership of the oracle stack, including institutional market data ingestion from co-located data centres, low-latency aggregation, hardware-secured signing, and on-chain submission. 

This function operates within a zero-tolerance environment, where the integrity and accuracy of price submissions are critical. 

Key Responsibilities 

• Low-Latency Data Ingestion: Design and operate a multi-source feed handler architecture to ingest tick-level data from institutional market data providers, exchange direct feeds, and reference rate APIs. Ensure isolation of data sources with independent failure domains, and implement staleness detection, quorum-based validation, and automated failover across redundant data pathways.  
• Price Aggregation Engine: Develop a high-performance aggregation engine in Rust to generate a single reliable price from multiple, potentially divergent data sources. Implement manipulation-resistant statistical methods, outlier filtering, asset-specific confidence thresholds, and automated halting mechanisms when data quality falls below defined standards. Ensure consistent sub-second submission cadence with deterministic latency.  
• Cryptographic Signing & Submission: Implement a secure signing pipeline leveraging hardware security modules (HSMs) to ensure private keys remain within tamper-resistant environments. Integrate pre-submission validation checks against on-chain reference data and design an optimized submission path with minimal network latency.  
• Failover & High Availability: Architect and maintain a resilient multi-site infrastructure with active/standby configurations and automated failover capabilities. Ensure failover occurs within sub-second timeframes without data loss, and implement serverless fallback mechanisms for extreme failure scenarios. Maintain high availability through load-balanced endpoints with session affinity.  
• Monitoring & Incident Response: Establish comprehensive observability frameworks, including real-time monitoring of oracle latency, data source health, and quorum integrity. Implement automated circuit breakers to halt operations under degraded conditions and integrate with a 24/7 incident response and alerting system with clearly defined service level agreements. 

• Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred 
• Strong written and verbal communication skills 
• Rust Development: Proven experience building and operating production systems in Rust with sub-100ms latency requirements. Demonstrated ability to deliver and maintain high-performance Rust applications in live environments.  
• Market Data Infrastructure: Hands-on experience integrating institutional-grade, tick-level market data feeds. Familiarity with FIX protocol, exchange connectivity, and normalization of market data across multiple asset classes, including equities, FX, commodities, and rates.  
• Low-Latency Systems Engineering: Experience designing and operating low-latency systems within co-located data centre environments. Strong understanding of kernel bypass networking, lock-free data structures, and cache-efficient memory design.  
• HSM Integration: Practical experience integrating hardware security modules (HSMs) for cryptographic signing in production environments, including key lifecycle management, rotation policies, and adherence to security standards.  
• Message Streaming Systems: Expertise in high-throughput message streaming architectures, including consumer group management, cross-site replication, and backpressure handling. Experience with technologies such as Redis Streams, NATS JetStream, or equivalent.  
• Operational Reliability: Experience supporting mission-critical systems with strict uptime requirements. Demonstrated ability to implement circuit breakers, develop operational runbooks, and design systems for graceful degradation under failure conditions.  
• Statistical Methods: Strong practical knowledge of robust statistical aggregation techniques, including weighted median, outlier detection, and exponential smoothing, with an understanding of their resistance to manipulation.  

Preferred / Desirable Experience 

• Blockchain Oracle Systems: Experience building or operating oracle systems (e.g., Chainlink, Pyth, or custom implementations), including an understanding of slashing mechanisms and incentive design for price reporting.  
• Real-Time API Infrastructure: Experience developing high-throughput WebSocket and gRPC services for latency-sensitive applications such as trading systems or AI agents.  
• Cloud Infrastructure (AWS): Experience designing and operating high-availability cloud infrastructure, including HSM services, serverless architectures, object storage, and service discovery with health-check orchestration.  
• Traditional Finance Market Microstructure: Understanding of global market microstructure, including trading hours, session boundaries, after-hours pricing, and weekend gap dynamics across asset classes. 

 

Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply.  

Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.