Payment Operations Associate - Analysis and Automation

Company Overview

Skydo is a fintech startup focused on solving B2B cross-border payments. We enable Indian exporters to seamlessly receive payments from their foreign clients in a cost-effective and compliant manner. Launched in November 2022, Skydo is rapidly scaling with excellent customer satisfaction. Our vision is to become the preferred payment option for Indian exporters as we build a global payment platform. The company is founded by Srivatsan Sridhar and Movin Jain and is well-funded by leading venture capital firms like Elevation Capital and Better Capital.

Job Summary

The Payment Operations Associate - Analysis and Automation will play a crucial role in managing daily payment operations, reconciliation, reporting, and process improvements. This position requires a self-driven individual with a strong sense of ownership to contribute to the company's growth and meet its operational objectives.

Responsibilities

• Daily Payment Operations:

  • Execute Operations Standard Operating Procedures (SOPs) for payment processing, invoicing, tracking, documentation, and forex conversion operations with various bank partners.
  • Manage and resolve operations tickets within defined Service Level Agreements (SLAs) with a focus on customer centricity.
  • Coordinate with customer-facing and compliance teams to handle customer escalations and resolve dependencies.

• Reconciliation and Reporting:

  • Create real-time tracking dashboards using SQL and develop automated reconciliation processes for foreign and Indian banking partners.
  • Generate and publish daily reports while maintaining oversight on Key Performance Indicators (KPIs) for all banking partners and customer cohorts.
  • Present periodic performance insights and foster accountability through data-driven reporting.

• Analysis, Strategy, and Process Improvement:

  • Analyze transaction data to identify trends, recurring issues, and operational risks.
  • Recommend and implement process improvements and automation strategies to minimize errors and reduce turnaround time.
  • Collaborate closely with Operations leadership to shape strategic priorities and promote a culture of operational excellence.

• Collaboration:

  • Coordinate with banking partners, tech, compliance, and product teams to address operational issues in payments.
  • Serve as the point of contact (POC) for operational tasks for customer-facing teams.
  • Work with tech and product teams to enhance and automate existing operational processes.

Qualifications

• Bachelor’s degree from a Tier 1 institute.
• 1-4 years of relevant work experience in operations within a professional setting.
• Strong ethical values and self-motivated, with a growth-oriented mindset.
• Highly disciplined, punctual, and responsible in handling high-value payment flows.
• Proficient analytical skills, capable of understanding and owning metrics to enhance operational performance; experience in SQL is required.
• Strong interpersonal skills with effective communication abilities in English and Hindi.
• Diligent, with a process-oriented approach and understanding of process linkage to KPIs.
• Experience in handling communications with vendors, partners, and customers.

Preferred Skills

• Familiarity with operations in the fintech sector.
• Experience in process automation tools and techniques.
• Knowledge of cross-border payment regulations.

Experience

• 1-4 years of relevant experience in operations, preferably in the fintech or banking sector.

Environment

• In-office work setting located in Bangalore, operating Monday to Friday, with possible work on occasional Saturdays.

Salary

• Salary information was not provided.

Growth Opportunities

• Potential for career advancement as the company scales and new roles develop within the payment operations and related teams.

Benefits

• A dynamic startup environment that promotes empowerment, transparency, and a fun workplace culture.
• Specific benefit details were not provided, but benefits typically included in a startup may be expected.