Production Engineer II

Role/Responsibilities: The Cubist Business Management team manages all aspects of onboarding new systematic trading teams as well as deployment of new trading strategies. The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management, and trading relationship management. General responsibilities include, but are not limited to: Complete project lifecycle management launching new PM Teams into production Educate PM teams on Point72 operating procedures and technology integration Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity The person in this role must have a technical background as well as good communication skills and a willingness to learn day-to-day trading and finance operations. The candidate should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations or demonstrate an aptitude to learn. Familiarity with research and market data sources is a strong plus but not a requirement. Job Requirements: This is a highly selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization. A BS in finance, statistics, math, and engineering or computer science is strongly preferred. 2 years of relevant work experience is a plus. Must have strong interpersonal skills, excellent time management skills, and a team attitude. Working experience in Python and SQL. We support systematic trading of global equities, futures, and foreign exchange, bonds, rates, credit and options. Candidates with specific work experience and knowledge of market

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Position Summary The Manager, Digital Product Design is a creative and technical leader responsible for driving the digital sculpting vision for licensed and owned consumer products. This role oversees the development of high-quality digital sculpts from concept through production, ensuring accurate character likeness, manufacturability, and adherence to licensor requirements. The Manager will lead and mentor a team of digital sculptors, manage external vendor relationships, and collaborate cross-functionally with design, engineering, and development teams to deliver world-class products on schedule. Key Responsibilities Creative & Technical Leadership Lead digital sculpting development for licensed and owned brands across multiple product lines. Establish and uphold best practices for digital sculpting workflows, tools, and asset management. Ensure sculpted assets meet creative intent, licensor guidelines, engineering constraints, and manufacturing requirements. Demonstrate expert-level ability to capture accurate character likeness and translate 2D reference into compelling 3D sculpts. Team Management & Development Manage, mentor, and develop a team of digital sculptors, providing creative direction, technical guidance, and performance feedback. Balance team workloads across multiple projects with shifting priorities and timelines. Foster a collaborative, supportive, and growth-oriented team culture. Cross-Functional Collaboratio

Data Scientist Lead Location: Hong Kong (Hybrid) | Practice Area : Data & Analytics | Type: Permanent The Role As a Data Scientist Lead at Capco, you’ll help clients optimise fraud models, machine learning platforms and supporting Google Cloud infrastructure, turning detailed analysis into practical, implementation-ready recommendations. You’ll take a hands-on approach to improving model and platform performance, reliability and run-cost across GCP infrastructure and ML pipelines. Working closely with IT infrastructure teams, data scientists and fraud stakeholders, you’ll identify opportunities to reduce compute and inference costs while maintaining effective, resilient solutions. You’ll provide configuration-level and code-level guidance, supported by clear estimates of implementation effort, expected savings and measurable outcomes. You’ll also use approved AI tools and AI-enabled workflows where appropriate to accelerate analysis, improve insight and support delivery, while maintaining human judgement, appropriate review and responsible AI guardrails. What You’ll Do GCP engineering: Lead hands-on design, diagnostics and optimisation across compute, storage and network services, implementing monitoring and observability to improve cost, performance and reliability. Fraud ML modelling: Support the development, validation and deployment of fraud and ML models end-to-end, identifying measurable opportunities to reduce compute requirements, accelerate inference and improve automation. ML and data pipelines: Optimise pipelines spanning ingest, transformation, feature creation and serving, training and inference, with a focus on cost efficiency, performance, resilience and responsible AI-enabled automation where appropriate. Big data and distributed processing: Develop and tune large-scale batch and streaming workloads using Spark or similar technologies, improving efficiency, stability and production readiness. Engineering excellence: Apply strong Python and SQL sk

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, high‑frequency trading infrastructure, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems. Role/Responsibilities: Troubleshooting/resolution of quantitative trading systems and other live analytics processes System monitoring, including development of better processes and tools New feature development in Python/C++ Configuration and change management Onboarding assistance Requirements: 2+ years of professional support and/or software engineering experience Experience with trading systems support (co-located low-latency systems a strong plus) Fluency with C++, Python and SQL Familiarity with software delivery lifecycle and production deployment Cloud experience is a strong plus Team player and strong communicator

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Location This position needs to be based in the Beijing, China office 3 days a week. No Relocation and Visa Support The Community You Will Join The Notifications team at Airbnb is dedicated to designing and building the core notification systems that deliver seamless and effective notification experiences to our guests and hosts globally. We collaborate with product teams across the company to understand notification needs and empower them through scalable solutions. By leveraging modern technology and thoughtful governance, we strive to enhance guest and host engagement, minimize user fatigue, and drive meaningful business outcomes. The Difference You Will Make We are looking for backend engineers who are passionate about building reliable systems and delivering user impact through their work. You will work in a global collaboration environment to turn product and engineering ideas into production systems. You will contribute to the development and evolution of our notification platform, help improve delivery timing and channel selection, and build scalable solutions that support

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Important to read before submit application: This role must be physically based in China. The Community You Will Join: Community Support Engineering (CSE) has increasingly become a key driver of enabling Airbnb's core business. Community Support Engineering is responsible for the world-class technology, architecture, and solutions that power CS at Airbnb. The products and capabilities we build empower our guests and hosts, CS agents, and operations teams around the world. As a member of CSE in China, you will have a great opportunity to make lasting impacts on the Airbnb CS user experience. The Difference You Will Make: We are seeking a highly skilled and motivated engineer who is passionate about making a difference through their work. As a Staff Software Engineer, you will be the technical lead in a team of talented and diverse software engineers leading the project execution to improve Airbnb customers and agents experience. You will lead the team and work with global technical leaders to build and evolute CS engineering foundations, such as Routing, Data platform, Case management, foundational toolings etc A Typical Day: Collaborating with cross-functional partners to deeply understand business problems before developing project solutions. Leading the execution of projects across the full software development lifecycle, including technical design, implementation, testing, and deployment, ensuring solutions are high-quality, scalable, and performant; Driving productive and constructive technical discussions with peers and cross-team technical leaders in the global collaborati