Responsibilities:

• As a Quant trader with FORMATNULL™ you execute proven strategies across Crypto Futures and Spot markets, monitor existing positions across exchanges and research, develop, and refine new cryptocurrency trading strategies. The role will straddle analyzing new trading opportunities, statistical approaches to profit calculation, trade execution, and support in reporting and KPI management.

• The ideal candidate would bring a deep understanding of cryptocurrency markets, technical and fundamental analysis, have multiple years’ experience trading at an institutional desk, and arrive with one or more tested strategies for rapid deployment. However, to the extent that strategies remain in the late development or testing stages, such candidates with sufficient market experience should certainly apply as well.

• Salary negotiable with additional perks. The position is designed to be predominantly remote, with flexibility for in-person collaboration when needed.

Responsibilities:

• Engage in all data aspects, from engineering to advanced visualizations, machine learning models, and experiments.

• Analyze and interpret large datasets using various tools.

• Simplify complex findings into visualizations and actionable insights for teams and executives.

• Join a fast-paced organization where quick time to market is essential.

Responsibilities:

• Manage back office tickets and provide 24/7 online inquiry and email response services.

• Engage with customers via email or online tools to address inquiries, provide advice, and gather feedback.

• Collaborate with business units to document customer requests and issues.

• Offer support and document feedback accordingly.

• Handle customer complaints, special cases, and ad hoc tasks as required.

Responsibilities:

• Conduct thorough AML checks during user onboarding, focusing on high-risk profiles.

• Lead proactive AML monitoring using advanced risk intelligence.

• Identify vulnerabilities in money laundering processes and implement risk mitigation strategies.

• Manage and escalate STRs and unusual financial activities.

• Ensure AML policies align with evolving regulations.

• Collaborate with teams to enhance anti-money laundering processes.

Responsibilities:

• Manage financial reporting, cash flow, tax compliance, GST, and budgeting.

• Ensure compliance with accounting standards and regulations.

• Prepare and review annual reports, statutory accounts, and management reports.

• Collaborate with auditors and tax agents.

• Perform reconciliations for revenue and balance sheet accounts.

Responsibilities:

• Finance Management: Oversee financial processes, including closings, reconciliations, invoicing, statements, and regulatory filings.

• Accounting Quality: Ensure accurate accounting by reviewing methodologies, validating entries, and improving systems.

• Internal Controls: Develop policies to maintain compliance.

• Business Partnership: Support leaders in financial decisions.

• Forecasting & Optimization: Set targets, optimize P&L, and conduct financial modeling.

• Team Building: Foster a strong finance team in a remote environment.

Responsibilities:

• Analyze on-chain/off-chain transactions, account traits, and key data to assess risks.

• Ensure due diligence on digital assets.

• Use open-source and corporate data to investigate legitimacy and stability.

• Detect irregularities or malicious activities and identify potential risks.

• Document investigative processes, including data sources and methodologies.

• Collaborate with cross-functional teams to gather insights and support investigations.

Responsibilities:

• Data Analysis and Insights: Conduct in-depth data analysis to identify trends, optimize processes, and improve efficiency. Use advanced techniques like cluster and regression analysis for actionable insights. Track KPIs and generate reports to assess performance.

• Team Leadership: Lead and mentor data analysts, ensuring quality work and best practices.

• Project Management: Oversee data projects, coordinate cross-functional teams, and allocate resources efficiently.

• Data Visualization & Reporting: Create engaging dashboards and reports with tools like Datawind.

• Strategic Partnerships: Work with business leaders, product, and engineering teams to drive data-driven improvements.