Job Description

Hymns to Her Global Talents LLC (hymnstohertalent.com) is an executive search firm dedicated to the North American AI Data Center, Digital Infrastructure, Power & Grid, Semiconductor, Retail and International Logistics industries.

Hymns to Her Global Talents is recruiting on behalf of our honored client, Qmove.

关于 Qmove | ABOUT QMOVE

Qmove 是由 Full Truck Alliance(满帮集团,NYSE: YMM)投资并运营的全球化数字物流科技平台,聚焦海外市场,通过数字化技术连接货主与卡车司机,实现高效的货运匹配与线上交易Qmove is a global digital logistics technology platform backed and operated by Full Truck Alliance (NYSE: YMM), focusing on international markets and connecting shippers with truck drivers through digital technology to enable efficient freight matching and online transactions.

满帮集团由运满满与货车帮于2017年战略合并成立,是中国领先的数字货运平台。Qmove 依托集团在数字货运、数据及技术领域的积累,持续拓展海外市场,致力于打造全球化数字物流生态。

Full Truck Alliance was formed through the strategic merger of Yunmanman and Huochebang in 2017 and is a leading digital freight platform in China. Leveraging the Group's expertise in digital freight, data and technology, Qmove continues to expand internationally and aims to build a global digital logistics ecosystem.

我们是一支简单、高效、国际化、充满创业精神的团队。如果你希望参与中国领先科技企业的全球化进程,并在快速发展的海外数字物流业务中发挥技术价值,欢迎加入Qmove。

We are a simple, efficient, international and entrepreneurial team. If you are excited about technology and global business and want to contribute to the international expansion of a leading Chinese technology company, we welcome you to join Qmove.

职位一:算法工程师 | Algorithm Engineer

招聘人数:3人;薪资:年薪人民币120万以内

工作地点 / Location: 新加坡 / Singapore

所属方向 / Function: Algorithm / Data Science

岗位职责 | Key Responsibilities

• 负责公司核心匹配交易算法和营销算法的开发与迭代,持续提升相关场景指标。 / Develop and iterate core matching, transaction and marketing algorithms to continuously improve key business metrics.

• 利用算法持续优化用户体验,提升业务效果。 / Apply algorithmic solutions to continuously improve user experience and business performance.

• 独立完成模型研发全链路,包括数据处理、特征提取、模型训练、部署监控等。 / Independently manage the end-to-end model development lifecycle, including data processing, feature engineering, training, deployment and monitoring.

• 深入产品和业务,从数据中发现模型、机制和策略不足,提出改进方案并推动落地。 / Deeply understand products and business, identify limitations through data, and drive improvements into production.

• 关注领域前沿进展,结合业务特点进行算法改进和技术创新,并用于实际业务。 / Stay current with algorithmic advances and apply relevant innovations to real-world business scenarios.

考核指标 | Performance Focus

• 核心匹配、交易及营销场景关键业务指标持续提升。 / Continuous improvement of key business metrics

across matching, transaction and marketing scenarios.

• 模型效果、稳定性及线上运行质量。 / Model performance, stability and production quality.

• 算法方案的业务落地效果及用户体验改善。 / Business impact of algorithmic solutions and improvements in user experience.

• 技术创新及算法优化对业务增长的实际贡献。 / Practical contribution of technical innovation and algorithm optimization to business growth.

专业知识及经验 | Qualifications & Experience

• 计算机相关专业本科及以上学历,2年以上相关工作经验;有推荐、搜索、广告等领域经验优先。 / Bachelor's degree or above in Computer Science or a related field, with 2+ years of relevant experience; recommendation, search or advertising experience preferred.

• 深入理解机器学习原理;在因果推断、时序预测、时空数据挖掘、多任务学习、在线学习、强化学习、运筹优化等领域有丰富实践经验者优先。 / Strong understanding of machine learning principles; extensive practical experience in causal inference, time-series forecasting, spatiotemporal data mining, multi-task learning, online learning, reinforcement learning, operations research or optimization preferred.

• 具备扎实编程功底,熟练使用主流机器学习和深度学习框架。 / Strong programming skills and proficiency in mainstream machine learning and deep learning frameworks.

• 对算法领域有强烈热情,数据敏感度高,逻辑思维及解决问题能力强,追求卓越并具备自驱力。 / Strong passion for algorithms, high data sensitivity, excellent logical thinking and problem-solving skills, with a drive for excellence and self-motivation.

• 沟通表达能力强,善于学习,能够理解业务和产品并关注用户体验。 / Strong communication skills, eagerness to learn, ability to understand business and products, and strong focus on user experience.

• 逻辑性强,具备良好的数据收集与分析能力,对数据有敏锐洞察力。 / Strong logical thinking and data analysis skills, with keen data insights.

• 具备良好的沟通和跨团队协作能力,执行力强,具备一定抗压能力。 / Strong communication and cross-functional collaboration skills, strong execution and resilience under pressure.

职位二:Data Analyst (Risk Control & Trucking Business),招聘人数:2人

Company: Q-move Singapore

Location: Singapore

Employment Type: Full-time; 薪资:年薪7-80万人民币

Key Responsibilities

1. Risk Control & Fraud Analytics

Analyze platform risks, including fake transactions, order manipulation, promotional abuse, organized fraud and operational violations.
Identify suspicious behavioral patterns and risk indicators through user behavior, transaction flows and relationship networks.
Evaluate the effectiveness of risk control strategies using key metrics such as interception rate, precision, false positive rate and financial losses.
Collaborate with risk control and algorithm teams to refine detection rules, analytical models and prevention strategies.

2. Trucking Business & Strategy Analytics

Analyze full-truckload (FTL) freight operations, covering shipment supply, carrier capacity, freight matching efficiency, fulfillment quality and pricing.
Identify business opportunities, operational bottlenecks and improvement areas through data-driven insights.
Develop actionable recommendations to optimize matching strategies, pricing mechanisms, products and operational performance.

3. Metrics, Monitoring & Insights

Develop and maintain key performance indicators (KPIs), analytical frameworks and monitoring dashboards for risk control and trucking operations across multiple markets.
Monitor business and risk indicators, detect anomalies and investigate their underlying causes.
Establish reusable analytical methodologies to support ongoing business optimization and decision-making.

4. Experimentation & Performance Evaluation

Design and evaluate A/B tests, phased rollouts and other suitable measurement approaches for risk control, operational and product strategies.
Apply statistical analysis and causal inference methods where appropriate to assess the impact, benefits and costs of different strategies.
Improve experimental design, analytical methodologies and tools to enhance the reliability of insights and the efficiency of strategy iteration.

5. Cross-functional Collaboration

Work closely with risk control, algorithm, product, operations and engineering teams to translate analytical findings into actionable business solutions.
Collaborate regularly with China headquarters and regional teams to align analytical approaches, support strategy implementation and track business outcomes.

Requirements

Bachelor's degree or above in Statistics, Mathematics, Computer Science, Economics or a related discipline.
At least 2 years of relevant data analytics experience. Experience in internet platforms, transaction matching, logistics, fintech or fraud analytics is preferred.
Strong proficiency in SQL and hands-on experience using Python for data processing, statistical analysis and exploratory data analysis.
Good understanding of statistical methods, experiment design and performance evaluation.
Experience with big data platforms such as MaxCompute, Hive or Spark is an advantage.
Strong business acumen and problem-solving skills, with the ability to break down complex problems, formulate hypotheses and validate them using data.
High sensitivity to anomalies and the ability to identify suspicious patterns from user behavior, transaction flows and network relationships.
Strong analytical thinking, communication and documentation skills, with the ability to turn insights into practical recommendations and measurable outcomes.
Fluent in both written and spoken Chinese is required, as the role involves daily collaboration with China headquarters risk control, algorithm and product teams, as well as reviewing Chinese-language documentation and system materials.
Self-motivated, proactive and comfortable working in a fast-paced, cross-functional and international environment.

Why Join Qmove | 为什么加入 Qmove

全球化业务 / Global Exposure:参与领先数字货运科技企业的全球化发展。
技术驱动 / Technology Driven:在 Java、数据、算法、自动化及数字物流等场景解决真实业务问题。
国际化团队 / International Team:与中国及海外市场的产品、技术和业务团队协作。
高速成长 / High Growth:参与快速发展的海外业务,技术岗位拥有较大的影响力和成长空间。
简单高效 / Simple & Efficient:简单直接的沟通、快速决策和高效执行。
加入 Qmove,与我们一起走向全球,连接世界,奔赴星辰大海!
Join Qmove and embark on a journey to connect the world and build the future of global logistics!