• Supervise and coordinate activities of the e-file teams to ensure optimal performance and productivity. • Develop and implement workflow strategies to improve efficiency and accuracy. • Set and monitor team Key Performance Indicators (KPIs) in alignment with departmental goals. • Provide leadership and development to team leads, including coaching, mentoring, and performance evaluations. • Manage department scheduling and delegate tasks to ensure coverage and timely task completion. • Collaborate with upper management to implement department strategies and process improvements. • Oversee hiring, onboarding, and training of new team members. • Handle performance management, including conducting reviews, managing corrective actions, and executing disciplinary measures as necessary. • Ensure compliance with all relevant company policies, procedures, and regulatory requirements.

Role Description - Analyze options and TradFi trading user behavior across the full lifecycle — from onboarding and first trade, to active trading patterns, product adoption depth, and churn signals. - Build and maintain dashboards and automated reports to track options and TradFi product performance, including trading volume, open interest, fee revenue, notional value, and key user indicators (e.g., activation rate, retention rate, revenue per user). - Conduct deep-dive analyses on options product performance, including volume breakdown by expiry/strike/type (call vs. put), IV trends, Greeks exposure distribution, premium flow, and user trading strategy patterns. - Conduct equivalent analyses on TradFi perpetual products (equities, indices, metals, commodities, forex), including cross-asset volume attribution, fee contribution by product line, and trader behavior segmentation. - Identify high-value user segments, model trading lifetime value and engagement depth, and provide data-driven recommendations to support product design, fee structure optimization, and market-making strategy. - Monitor data quality and integrity across trading and user systems, identifying and resolving metric discrepancies and anomalies. - Support business, product, and risk teams with ad-hoc data requests, A/B test analysis, and impact assessments for new product launches, feature releases, and trading campaigns. - Develop and maintain data models and ETL pipelines for options, TradFi, and user-related datasets. - Collaborate with cross-functional stakeholders — including product, risk, finance, and compliance — to define metrics, align on data definitions, and standardize reporting. - Provide actionable recommendations based on data findings to support user acquisition, trading volume growth, and product monetization strategies. Qualifications - Fluent in English and Mandarin (written and spoken). - 5+ years of experience in data analysis, business intelligence, or a related analytical role. - Background in options trading, derivatives, or TradFi financial products required. - Strong proficiency in SQL and at least one analytical programming language (Python or R). - Experience with BI/visualization tools (Tableau, Looker, Power BI, or similar). - Solid understanding of options mechanics — payoff structures, Greeks (Delta/Gamma/Vega/Theta), implied volatility, open interest, and expiry dynamics. - Familiarity with TradFi asset classes — equities, equity indices, metals, commodities, and foreign exchange — and their perpetual contract equivalents. - Strong analytical thinking with the ability to translate complex trading data into clear, actionable insights. - High attention to detail and commitment to data accuracy. - Ability to work independently in a remote environment. - Comfortable working across different timezones. Preferred Qualifications - Familiarity with crypto options products — USDC-margined options, volatility surface construction, or DeFi options protocols. - Experience with trading flow analysis, market microstructure, or execution quality metrics. - Experience with statistical analysis, forecasting, or quantitative techniques applied to derivatives or multi-asset trading scenarios. - Prior experience at a crypto exchange, digital asset platform, or traditional brokerage with derivatives and multi-asset capabilities. - Understanding of options market-making, hedging workflows, or institutional trading behavior. Benefits - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us - Your long-term development is important to us. We offer internal job opportunities to help build your career path.

• Accurately entering and updating large volumes of information into company databases and computer systems. • Verifying data for accuracy and completeness, identifying and correcting any errors or inconsistencies. • Reviewing source documents for deficiencies and resolving discrepancies by using standard procedures or returning incomplete documents to the team leader for resolution. • Maintaining the confidentiality and security of all company and client data. • Generating reports, storing completed work in designated locations, and performing backup operations. • Complying with data integrity and security policies to ensure data is handled responsibly. • Collaborating with team members to ensure company-wide data consistency and quality.

Role Description We are seeking a skilled Data Analyst to design and analyze A/B tests, uncover data-driven insights using Python, and deliver actionable recommendations that shape product strategy. You will collaborate closely with product teams, develop impactful dashboards, and drive continuous improvements in both product and data processes. Responsibilities - A/B Testing: Validate and analyze A/B tests to assess feature performance, user engagement, and design effectiveness, delivering clear, actionable recommendations. - Data Analysis: Conduct in-depth analysis using Python to uncover trends, patterns, and insights that drive product innovation and strategic decisions. - Collaboration: Work closely with product managers and domain experts to understand business goals and translate them into analytical outcomes. - Reporting: Build and present reports and dashboards that clearly communicate insights to stakeholders and support data-driven decision-making. - Continuous Improvement: Identify opportunities to optimize products and enhance data collection and analysis processes. Qualifications - Strong statistical analysis skills and experience with A/B testing methodologies. - Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, or a related field. - Proven experience as a Data Analyst. - Experience with data analysis and visualization tools, and proficiency in programming languages such as Python. - Proficiency in using SQL. - Familiarity with BI tools, preferably with Power BI. - Upper-intermediate English level. - Excellent communication skills with the ability to present complex data insights to non-technical stakeholders. - Strong problem-solving skills and attention to detail. Benefits - Quarterly bonuses based on Company performance. - 24 working days of annual leave. - Corporate events and team building activities. - Udemy Business unlimited membership & language training courses. - Professional and personal development opportunities in a fast-growing environment.