AlphaRebate
AlphaRebate
1 – 10 Darbinieki
FinansesFintechMārketings
AlphaRebate ir finanšu tehnoloģiju un finanšu mārketinga uzņēmums, kas koncentrējas uz komisijas maksu atmaksas programmām un izglītojošiem materiāliem Forex un CFD tirgotājiem. Kā regulētu Forex un CFD brokeru neatkarīgs filiāļu partneris tas palīdz tirgotājiem samazināt tirdzniecības izmaksas, piedāvājot komisijas maksu atmaksu. Tā materiālos arī paskaidrots, ka AlphaRebate nesniedz personalizētus finanšu ieteikumus un ka tirdzniecība ir saistīta ar ievērojamu risku.

Quantitative Researcher (Hybrid, Cyprus)

Research and productionize multi-asset pricing models using high-frequency market data, from liquidity-source analysis and signal validation to live quoting systems.

Apraksts

  • Design and calibrate reference prices using data from multiple liquidity sources
  • Select and weight sources, manage stale and anomalous data, synchronize tick times, and aggregate market depth
  • Assess latency and data quality for each liquidity source
  • Develop dynamic spread, markup, and price-adjustment models that respond to volatility, liquidity, inventory, and order flow
  • Investigate short-horizon predictive signals and flow-based pricing adjustments
  • Evaluate signal value through spread capture after hedging costs
  • Apply pricing techniques across foreign exchange, metals, indices, commodities, and cryptocurrencies
  • Backtest and simulate models, then operate them in live shadow mode
  • Establish assumptions, model-degradation thresholds, and risks of counterparty exploitation
  • Deploy models to production in partnership with developers
  • Maintain ownership of the mathematical framework in the live system
  • Track model performance and retire approaches that no longer deliver
  • Partner with trading, technology, and other relevant IC teams using market, quote, order, and execution data

Prasības

  • Bachelor’s degree or higher in computer science, software engineering, a related engineering field, or equivalent demonstrable experience building and operating production data systems
  • At least five years of ownership experience with a production trading data platform at a broker, proprietary trading firm, market maker, bridge or trading-technology vendor, or exchange-adjacent business
  • Experience with electronic pricing on a bank eFX desk, non-bank market-making desk, proprietary or high-frequency trading firm, hedge fund, or brokerage quoting engine
  • Advanced knowledge of adverse selection and markouts, latency and last look, inventory management, session structure, and liquidity regimes
  • Strong applied statistics and time-series modelling skills using high-frequency data
  • Machine learning expertise, paired with sound judgement for detecting overfitting
  • Fluent in research-oriented Python
  • Comfort working with large tick datasets and SQL in columnar data stores
  • Able to carry work from initial hypothesis through modelling, validation, and production deployment
  • Able to communicate mechanisms and results clearly to traders and engineers
  • C++, Rust, or other high-performance production experience is desirable
  • Experience optimising and simulating quoting under inventory and risk constraints is desirable
  • Understanding of retail CFD and FX broker economics is desirable
  • Experience with MT4, MT5, cTrader, liquidity bridges, or aggregators such as oneZero is desirable

Priekšrocības

  • Competitive compensation
  • 22 days of annual leave
  • 12 paid sick days
  • Full medical insurance coverage after six months
  • Group savings and life insurance plan after six months
  • Fully stocked kitchen with fresh fruit, snacks, and beverages
  • Daily lunch buffet
  • Paid overtime
  • Dedicated budgets for upskilling and professional development
  • Employee referral bonus
  • Team events and team-building activities
  • MadBenefits employee discounts platform
  • Access to gym facilities, organised sports, and spa treatments
  • Unwind Fridays with a relaxed drink alongside colleagues

Saistītās vakances