Location: Shanghai

On-Site | Full-time

Compensation: $150K–$200K + equity

Our client is an innovative quantamental investment platform that empowers investors to build, share, and collaboratively execute sophisticated trading playbooks. The platform covers the entire investment lifecycle, including financial modeling, data visualization, quantitative strategy development, event-driven backtesting, and real-time dashboard monitoring. Designed to seamlessly convert strategic ideas into live execution parameters without requiring code, the platform fosters collaborative intelligence to turn individual research into a powerful, shared edge.

On behalf of this client, we are seeking a top-tier Quant Engineer to build and scale the core, production-grade trading engine that powers the platform's execution layer. This is a pure systems and infrastructure engineering position, rather than a quantitative strategy or research role. The successful candidate will focus heavily on infrastructure, architectural correctness, and high-level reliability across the end-to-end framework: from research and event-driven simulation to paper trading, live order routing, and real-time execution.

Key Responsibilities

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by leading market research firms, including Forrester and Gartner.

We are looking for someone with a strong blend of business consulting skills and data analytics expertise who can bridge the gap between analytics strategy and measurable business outcomes. The ideal candidate will partner with cross-functional stakeholders to design, prioritize, and deliver analytics programs that drive operational and commercial impact.

Responsibilities:

About the Role

We are looking for a highly skilled Senior Software Engineer (Full Stack) to join our Engineering team. In this role, you will be responsible for designing, developing, and maintaining scalable backend systems, managing databases, implementing DevOps practices, ensuring security compliance, and collaborating closely with frontend teams.

You will play a key role in shaping system architecture, optimizing performance, automating deployments, and mentoring junior engineers while ensuring the delivery of secure, high-quality software solutions.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python. In this role, you’ll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations.

Responsibilities

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets

Job Duties:

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist – Causal Inference & Customer Loyalty to join a brand-new Business Unit (BU) supporting leading Retail and CPG clients. In this role, you will design, develop, and deploy advanced causal and predictive solutions that drive critical business decisions across customer retention, loyalty program optimization, churn mitigation, and lifecycle monetization.

You will work closely with business stakeholders, marketing leaders, data engineers, and analytics leadership to build foundational data models and scalable algorithms that deliver measurable revenue generation from customer behavior. The ideal candidate combines strong causal inference expertise with hands-on machine learning experience and the ability to translate complex behavioral data into actionable business recommendations.

Key Responsibilities

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking a highly skilled and experienced Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering (MLE). The ideal candidate will have a proven track record in designing, implementing, and deploying large-scale recommendation solutions, while also leading projects and mentoring teams. This role requires technical depth, hands-on coding, and the ability to engage directly with clients and stakeholders .

Key Responsibilities

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Job Overview

The Digital Marketing, CRM & Loyalty Lead will be responsible for driving app marketing initiatives, CRM and lifecycle marketing programs, loyalty operations, data analysis and reporting, and managing relationships with key vendors and stakeholders.

Sales & Integrations Engineer

Description

Are you passionate about automation, APIs, and building seamless software integrations? Keycafe is looking for a Sales & Integrations Engineer to develop, manage, and scale integrations between our platform and third-party applications. This role is ideal for someone who thrives in a fast-paced, customer-focused environment and enjoys leveraging automation tools to create impactful solutions.

In this role, you'll:

• Design, develop, and maintain integrations using automation platforms like n8n, Pipedream, or similar tools.
• Collaborate with industry teams to understand customer needs and build tailored automation solutions.
• Optimize and scale integrations for performance, efficiency, and reliability.
• Troubleshoot and resolve integration issues to ensure seamless system functionality.
• Stay ahead of new automation technologies and quickly adapt if we transition from n8n to another tool.
• Work closely with stakeholders to identify new integration opportunities and best practices.

Why Join Keycafe?

Innovative, fast-growing tech company with a global presence.

Fully remote role with flexible work arrangements.

Opportunity for career growth in a high-impact role.

Work alongside a talented international team on cutting-edge integrations.

About Us: