Head of Finance Analytics Department

We are looking for a Head of Financial Analytics to build and lead the analytical engine of our finance function. You will turn exchange data, trading volumes, fees, user activity, liquidity, treasury and on-chain flows into a clear view of performance, plans and decisions for the CEO, CFO and Board.

The role combines leadership, business partnering and data/BI ownership. Crypto markets are volatile, so you will build planning models that work across bull, base and bear ("crypto winter") scenarios and keep the company's economics transparent at all times.

• Requirements:
• Experience: 8–12+ years in financial analytics, strategic finance or investment banking/consulting, with at least 3–4 years leading a team.
• Industry: Experience at a crypto exchange, broker, fintech, payments company, bank or trading venue; strong understanding of how exchanges make money (trading fees, spreads, funding, listing, staking, custody, stablecoin yield).
• Education: Bachelor's degree in Finance, Economics, Accounting, Mathematics or a related field.
• Modelling: Expert in building driver-based, multi-scenario, multi-currency and multi-entity financial models.
• Data skills: Strong SQL; hands-on with Power B and Python.
• Accounting: Solid knowledge of financial statements, including accounting treatment of digital assets and customer crypto liabilities.
• Communication: Able to explain complex numbers simply to the CEO, Board and non-finance teams, in written and presentation form.
• Languages: Fluent English, Russian.
• Experience with planning and ERP tools.
• Experience with on-chain data and tools (Dune, Nansen, Glassnode, Chainalysis) and blockchain explorers.
• Exposure to proof-of-reserves, licensing (VARA, NAPP) or regulatory capital reporting.
• Experience building a finance analytics function from scratch in a high-growth environment.
• Key Responsibilities:
• Annual budget: Own the bottom-up annual operating plan across all business lines (spot, derivatives, OTC, staking/earn, fiat on/off-ramp, listings, card/payments).
• Rolling forecasts: Run monthly or quarterly re-forecasts driven by trading volume, market volatility, asset prices, user growth and fee changes.
• Scenario modelling: Maintain bull / base / bear scenarios with clear triggers, cost levers and cash runway impact.
• Management reporting: Produce monthly and quarterly packs for management and the Board with variance analysis and forward-looking commentary.
• Exchange KPIs: Define and own the KPI framework, trading volume, take rate, revenue per active user, ARPU, MAU/DAU, deposits and withdrawals, assets under custody, market share, CAC, LTV, retention cohorts, EBITDA margin and cost-to-income.
• Revenue analytics: Break down revenue by product, trading pair, fee tier, VIP/market-maker segment, region and channel; explain the drivers behind every move.
• Unit economics: Measure profitability per product, per listed token, per market and per customer segment, including rebates, referral and affiliate payouts.
• Business cases: Evaluate new product launches, token listings, market entries, partnerships and M&A with ROI and payback analysis.
• Investment gate: Run a structured approval process for major spend, with post-investment reviews against the original case.
• Marketing ROI: Measure campaign, bonuses and referral program efficiency before and after spend.
• Pricing: Support fee schedule, VIP tier and market-maker incentive decisions with data.
• Liquidity & capital: Partner with Treasury on cash, stablecoin and crypto balance forecasting, regulatory capital and liquidity requirements.
• Asset exposure: Analyse company balance-sheet exposure to crypto price moves, FX and counterparty concentration.
• Proof of reserves: Support reconciliation of customer liabilities vs. on-chain and custodial assets together with Accounting and Risk.
• Stress testing: Model the financial impact of market crashes, bank-run withdrawal scenarios and counterparty failures.
• Single source of truth: Work with Data Engineering to build a finance data warehouse joining ledger/ERP, matching-engine, wallet, payments.
• Working Conditions:
• Official employment in full compliance with labor law;
• Competitive salary (negotiable based on interview results);
• Professional growth and career development opportunities;
• Friendly team and direct communication with company executives.