SPE-Cards & Payments, Hyderabad, Telangana, India

Job Summary

This hybrid role for an MNC focuses on delivering high quality analysis and operations support in cards and payments with strong reliance on advanced MS Excel skills. The specialist will handle data driven insights process optimization and reporting to enhance customer centric services across finance related workflows while working closely with cross functional teams in a structured environment.

Responsibilities

Perform daily analysis of cards and payments data using MS Excel to identify trends anomalies and operational gaps that impact transaction accuracy and customer experience

Prepare detailed reports dashboards and summaries in MS Excel to present clear insights on payment volumes settlement timelines and exception items for stakeholders

Support reconciliation of transaction data by validating entries fees and adjustments to ensure financial accuracy and minimize revenue leakage

Coordinate with operations and technology partners to track issues in payment processing and document them systematically to support timely resolution

Monitor adherence to internal controls in cards and payments workflows and highlight deviations to ensure compliance with enterprise risk practices

Optimize existing Excel based trackers and templates by improving formulas formats and structures to reduce manual effort and enhance data reliability

Assist in root cause analysis of payment disputes chargebacks and reversals by consolidating and reviewing evidence data points and decision logs

Contribute to process improvement initiatives by documenting current state processes and proposing Excel supported solutions that enhance efficiency and transparency

Collaborate with finance and accounting teams when required to ensure that cards and payments entries align with ledger postings and reporting standards

Support day shift operations under a hybrid work model by maintaining timely updates communication and documentation of work progress in shared tools

Maintain accurate records of daily activities and key metrics in Excel based logs to support audit readiness and continuous improvement reviews

Communicate clearly with internal teams about data issues and operational risks in cards and payments so that corrective actions are prioritized and tracked effectively

Apply basic knowledge of consumer lending and finance concepts when available to interpret data patterns and recommend meaningful actions that support business goals

Qualifications

Demonstrate hands on expertise in MS Excel including pivot tables advanced formulas lookup functions and data validation to manage large transaction datasets effectively

Exhibit practical understanding of cards and payments operations such as authorizations settlements refunds and chargebacks to interpret data and support issue resolution

Show familiarity with finance and accounting concepts including reconciliations posting logic and basic financial controls to align transaction data with financial outcomes

Display awareness of consumer lending products processes and customer journeys when applicable to better contextualize cards and payments data analysis

Possess strong analytical thinking communication and documentation skills that enable clear explanation of findings risks and recommendations to non technical stakeholders

Adapt effectively to a structured hybrid work model in a day shift environment while maintaining high standards of reliability accountability and teamwork

关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。

补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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