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Customer Service Representative - Financial Derivatives

Binance
Armenia +48Full Time2 hour

Job Summary

Join Binance's Customer Service team as a Financial Derivatives Specialist. Coordinate customer inquiries, solve complaints, and optimize service quality. Empathetic and communicative individuals with finance background and excellent English skills are required. The role involves handling unpredictable emergencies and performing ad-hoc tasks. Apply for this client-facing position to ensure exceptional customer service standards.

Join Binance's Customer Service team and be a part of a client-facing business where exceptional support is our priority. We aim to create a platform where users receive top-quality assistance with fast response times and accurate information. Our support is provided via ticketing systems and live chat, handling customer queries, complaints, and identification approval processes for our world-class cryptocurrency exchange platform. We seek empathetic, communicative, and problem-solving individuals who can advocate for our customers and gather valuable feedback. Join us and help ensure exceptional service standards and high customer satisfaction.

Responsibilities:

    • Coordinate and handle customer inquiries about Binance financial derivatives, and retain regular customers
    • Solve customer complaint issues, and create and document report analysis
    • Optimize customer complaint processes and improve service quality
    • Handle unpredictable emergencies in an efficient and timely manner
    • Perform adhoc tasks and reports assigned by shift leader and/or managers

Requirements:

    • Bachelor's degree or diploma, preferably in a finance-related major
    • Prior customer support experience with exposure to an e-commerce or financial industry background is a must
    • Excellent communication skill in English; additional knowledge of Arabic language would be an advantage
    • Familiar with CS operation and business processes, with a strong ability for problem-solving and a strong number-driven approach