Senior Research Engineer (Based in Hong Kong)

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: * The successful candidate will join the Production Management team based in New York, providing high-touch support to the QRT trading desks and Risk managers with a dedicated focus on Risk and PnL systems.   * QRT trades across all major EMEA and US markets, and this role sits at the intersection of technology and front office operations.  * You will be the primary point of contact for the investigation and resolution of issues impacting real-time risk monitoring, daily PnL figures, and trade / positions reconciliation.   * You will work closely with traders, quants, and finance teams to ensure the integrity and availability of risk and PnL data throughout the trading day and at end of day. You will also liaise with internal development, quant research, and external counterparties to maintain a stable and accurate production environment.  Your present skillset: * Real-time risk support: Monitor and support intraday risk systems, ensuring live Greeks, exposure, and limit utilisation data are accurate and available to the front office throughout the trading day  * PnL production and reconciliation: Own the end-of-day PnL process, including identification and resolution of breaks between trader flash PnL and official finance PnL  * Trade and position reconciliation: Investigate and resolve position breaks between internal systems, prime brokers, and exchange/clearing houses  * Market data integrity: Ensure pricing and reference data feeds (EOD prices, vol surfaces, yield curves) used in risk and PnL calculations are correct and complete  * Explain PnL attribution: Work with traders and quants to explain PnL moves by decomposing into risk factors (delta, gamma, vega, theta, etc.)  * System availability: Ensure all risk and PnL components are operational before the start of each trading session; manage morning health checks and sign-off processes  * Incident management: Lead investigation and resolution of risk or PnL discrepancies, communicating clearly with traders and senior management under time pressure  * Process improvement: Develop scripts and tools to automate reconciliation, monitoring, and alerting workflows to reduce manual effort and improve accuracy  * Release management: Support the deployment of risk system and PnL platform releases, validating output integrity before and after changes  * Evening/weekend support: Provide on-call coverage for critical end-of-day and start-of-day processes, normally via remote access  Essential  * Minimum 2 years in a risk, PnL, or quantitative support role within a trading firm, hedge fund, or investment bank * Strong understanding of risk metrics: delta, gamma, vega, theta, DV01, and portfolio-level exposure aggregation  * Hands-on experience with PnL production workflows, including flash vs. official PnL reconciliation and attribution  * Familiarity with financial instruments across at least two asset classes (Equities, Futures, Commodities, FX, Fixed Income)   * Strong relational database skills – able to query and investigate data independently (SQL Server or Postgres preferred)  * ~1 year of scripting experience in Python, Bash, or PowerShell for automation and investigation tooling  * Excellent analytical and problem-solving skills with a methodical approach to root cause analysis  * Strong written and oral communication skills – able to explain technical issues clearly to traders and senior stakeholders  * High sense of ownership: proactive in following issues through to resolution without being chased  Base salary range for this position is $150,000 to $220,000 per year.  QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Duolingo

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.  Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. ---------------------------------------------------------------------------------------------------------------------------------- About the role... We are looking for an experienced AI Research Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Language Learning team, we’re building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.   🧠  You will... * Manage a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. * Contribute to the development and training of a variety of machine learning models, including large-scale neural networks. * Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. * Participate in and help drive strategic product and business decision-making as a member of the Language Learning leadership group.  * Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture. * Stay up-to-date with the latest developments in machine learning and apply this knowledge to drive advancements in our projects. * Mentor team members, providing guidance and support in their professional development. * Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.   ✅  You have... * Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent. * Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. * Strong background in training and fine-tuning large models in an applied setting. * Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. * Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates. * Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices. * Deep understanding of machine learning concepts, frameworks, and best practices. ---------------------------------------------------------------------------------------------------------------------------------- The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $220,800—$331,200 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here. Job Alerts: Sign up for job alerts here. Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com. Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.

Duolingo

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.  Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. ---------------------------------------------------------------------------------------------------------------------------------- About the role... We’re hiring a Senior Engineering Manager to lead a high-impact product engineering team focused on user growth. You will co-lead a cross-functional team to improve learner habit formation and long-term engagement through a variety of features, while owning the team's roadmap, execution, and outcomes. This role blends technical leadership, people management, and product strategy as you’ll set direction for complex systems, foster an inclusive, high-performance culture, and create an environment for engineers to do impactful things. The role is based in Pittsburgh or New York.   🧠  You will... * Co-lead a cross-functional team with partners in product management, aligning on strategy, priorities, and success metrics for features that drive user growth. * Drive execution of projects from spec to implementation, experimentation/analysis, and ongoing ownership, while ensuring infrastructure reliability, scalability, and observability. * Use data and rapid experimentation to inform decisions; partner with internal stakeholders to design A/B tests and translate insights into product improvements that measurably impact retention KPIs. * Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture. * Set engineering quality standards and processes that balance speed and long-term maintainability; proactively manage tech debt, product quality, and operational excellence. * Collaborate closely with product, design, research, and other engineering teams to deliver user experiences that serve user needs while being impactful towards business metrics. * Define team OKRs, ruthlessly prioritize, and remove roadblocks to enable teams to do their best work.   ✅  You have... * Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent. * A track record of shipping multi-engineer, multi-week+ projects with measurable business impact, balancing speed and quality. * Strong product instincts and comfort in highly experimental, data‑driven environments; experience defining metrics and running A/B tests with analytics or data science partners. * Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates. * Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices. * The ability to work from or relocate to Pittsburgh, PA or New York, NY.   ⭐  Exceptional candidates will have... * Experience leading teams focused on retention, engagement, growth, or habit‑formation features in consumer products. * Experience setting team OKRs and operating cadences that consistently deliver outsized impact on company‑level metrics. * Background managing teams with broad cross‑functional scope. ---------------------------------------------------------------------------------------------------------------------------------- The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $204,000—$306,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here. Job Alerts: Sign up for job alerts here. Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com. Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.