Syfe is a financial technology company that offers wealth management and advisory services, including brokerage options for clients. With operations in Singapore and Gurugram, India, Syfe focuses on enhancing client success through innovative product design, engineering excellence, and effective marketing strategies. The company actively seeks to hire talent across various domains, including product management, engineering, and client advisory roles, to optimize its service offerings and client experiences.
Finance • Investment • Portfolio Management • Strategy • Low Cost Investing
March 13
Syfe is a financial technology company that offers wealth management and advisory services, including brokerage options for clients. With operations in Singapore and Gurugram, India, Syfe focuses on enhancing client success through innovative product design, engineering excellence, and effective marketing strategies. The company actively seeks to hire talent across various domains, including product management, engineering, and client advisory roles, to optimize its service offerings and client experiences.
Finance • Investment • Portfolio Management • Strategy • Low Cost Investing
• Syfe is a digital investment platform empowering wealth growth. • Looking for a hands-on Senior Product Analyst to drive data-informed decisions. • Focus on customer behavior analysis, experimentation, and growth analytics. • Collaborate with product managers, designers, and engineers. • Conduct user behavior analysis, funnel performance, and develop recommendations. • Design A/B tests, ensuring statistical rigor and impact assessment. • Build dashboards and provide insights on customer journeys.
• 5-8+ years of hands-on experience in product analytics, data science, or a related field. • Strong background in B2C digital products, ideally within financial services, fintech, or other data-rich, regulated industries. • Expert in SQL (ability to write complex queries efficiently). • Proficient with data visualization tools (e.g., Looker, Tableau, Mode, Amplitude, Mixpanel). • Hands-on experience with A/B testing methodologies and tools (e.g., Optimizely, Google Optimize, internal frameworks). • Solid understanding of statistical analysis, causal inference, and experiment design. • Experience with customer segmentation, retention modeling, and funnel optimization. • Ability to translate complex data into clear narratives and actionable insights for non-technical stakeholders. • Strong communication skills, with the ability to influence product and business strategy using data. • Familiarity with big data tools (Snowflake, BigQuery, Redshift) and Python or R is a plus.
• Annual learning allowance for work-related online courses and books • Allowance for home office setup • Latest M1 Macbook Pro + as required hardware and software
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