
501 - 1000 employees
Founded 2005
💸 Finance
💳 Fintech
₿ Crypto
Finance • Fintech • Crypto
MultiBank Group is a global financial services firm founded in California in 2005 that provides retail and institutional trading in FX, CFDs, commodities, stocks and crypto. It operates regulated brokerage and exchange businesses (including mb. io and MEX Exchange), offers institutional liquidity and prime brokerage services, and runs affiliate and franchise programs for partners. The group promotes fintech innovation—blockchain tokenization of assets, a native token (MBG), AI-driven trading tools, and a mobile/web trading ecosystem—while servicing over 2 million clients across 25+ offices and multiple regulated entities.
🕒 April 30
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501 - 1000 employees
Founded 2005
💸 Finance
💳 Fintech
₿ Crypto
Finance • Fintech • Crypto
MultiBank Group is a global financial services firm founded in California in 2005 that provides retail and institutional trading in FX, CFDs, commodities, stocks and crypto. It operates regulated brokerage and exchange businesses (including mb. io and MEX Exchange), offers institutional liquidity and prime brokerage services, and runs affiliate and franchise programs for partners. The group promotes fintech innovation—blockchain tokenization of assets, a native token (MBG), AI-driven trading tools, and a mobile/web trading ecosystem—while servicing over 2 million clients across 25+ offices and multiple regulated entities.
• Build end-to-end analytical models to evaluate customer lifecycle • Leverage outputs from ML models to drive predictive analytics and decision frameworks • Develop advanced segmentation models using clustering techniques and behavioral feature engineering • Perform deep funnel analysis using event-level data to identify inefficiencies and optimization opportunities • Design and evaluate experimentation frameworks with statistical rigor • Build data pipelines for analytics use cases using SQL and Python • Work with large datasets from multiple sources • Apply attribution modeling techniques to evaluate marketing performance • Translate complex datasets and model outputs into clear, commercially actionable insights • Automate recurring analyses and reporting using Python and workflow orchestration tools
• Strong SQL expertise with experience querying and transforming large datasets • Advanced Python skills for data analysis (pandas, NumPy, SciPy, statsmodels) • Experience with statistical modeling and hypothesis testing • Familiarity with machine learning concepts and interpreting model outputs • Experience with data visualization tools (Tableau, Power BI, Looker) • Exposure to product analytics tools (Amplitude, Mixpanel, GA4) • Strong understanding of cohort analysis, retention curves, LTV modeling, funnel optimization • Experience with A/B testing frameworks and experimental design • Knowledge of marketing analytics concepts (ROI, ROAS, attribution models) • Ability to work with semi-structured and event-driven data
• Competitive salary plus performance-based incentives • Access to a dynamic, international, and fast-growing environment • Strong opportunities for career progression within a global financial group
Apply Now🕒 April 8
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