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Senior Automation Associate, Commercial and Investment Banking

JPMorgan Chase & Co.

Manila

On-site

PHP 1,500,000 - 2,200,000

Full time

10 days ago

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Job summary

Join a leading global financial services firm as a Senior Automation Associate. In this role, you will spearhead intelligent automation initiatives, manage projects, and collaborate with stakeholders to optimize operations. This position offers the opportunity to make a significant impact on operational efficiencies while advancing your career in a dynamic and supportive environment.

Qualifications

  • Minimum 5 years of experience in automation, data analysis, AI.
  • Strong expertise in RPA tools and data analysis tools.
  • Exceptional analytical and problem-solving skills.

Responsibilities

  • Design and deploy RPA systems to enhance operational efficiency.
  • Conduct data analysis and optimize processes.
  • Lead training sessions and mentorship programs.

Skills

Automation
Data Analysis
Artificial Intelligence
Machine Learning
Communication
Collaboration
Problem-Solving

Education

Bachelor’s degree in Computer Science, IT, Engineering

Tools

UiPath
Pega
Python
Alteryx
Tableau

Job description

Shape the future of operational efficiencies and your career when you spearhead our intelligent automation initiatives to design the future of operational efficiencies. Coach and mentor team members, collaborate with stakeholders, design, and deliver training on workflow automation, and streamline and revolutionize the firm’s processes, reducing manual touchpoints, building controls and reducing - if not completely eliminating, the false transactions.

As a Senior Automation Associate within Commercial and Investment Banking, you will be part of the Robotic Process Automation (RPA) Development and Implementation where you will be required to conduct and manage advanced intelligent automation and business analysis. You will execute, and implement automation and the digitization strategy to deliver the outcomes of automation to support the Operations function.

Job responsibilities:

  • Design and deploy Robotic Process Automation systems to streamline repetitive and manual business tasks, significantly boosting operational efficiency.
  • Conduct thorough data analysis and business process workflow examinations, utilizing strong analytical skills to understand and optimize operations across Securities Services.
  • Apply Artificial Intelligence and Machine Learning technologies to enhance process automation, predictive analytics, and customer interactions, ensuring cutting-edge solutions are in place.
  • Work closely with stakeholders from various departments to identify and prioritize opportunities for automation, ensuring these initiatives align with broader business objectives.
  • Manage the entire lifecycle of automation projects, from requirement gathering and system design to deployment and ongoing maintenance, ensuring high standards of quality and performance.
  • Lead training sessions and mentorship programs focusing on automation, AI/ML, and data analysis to build internal capabilities and foster an environment of continuous learning and improvement.
  • Oversee transformation projects, communicate effectively with stakeholders at all levels about progress and milestones, and demonstrate the business value of digital initiatives through regular showcases and updates.

Required qualifications, capabilities and skills:

  • Educational Background:Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • Professional Experience:Minimum of 5 years of experience in automation, data analysis, and AI, showcasing a proven track record in deploying successful projects.
  • Expertise in RPA Tools:Profound knowledge and hands-on experience with RPA tools such as UiPath, Pega, and Python, demonstrating high proficiency in automating complex business processes.
  • Data Analysis Proficiency:Strong expertise in data transformation and analysis tools like Alteryx and Tableau, enabling insightful business intelligence and data-driven decision-making.
  • AI/ML/LLM Knowledge:Well-versed in the applications, developments, APIs, and integrations related to AI, ML, and Large Language Models, contributing to advanced automation and analytics solutions.
  • Analytical and Problem-Solving Skills:Exceptional business analysis skills with a robust capability in problem-solving, equipped to tackle complex challenges and optimize operational efficiencies.
  • Communication and Collaboration:Excellent communication and interpersonal skills, capable of effectively collaborating with cross-functional teams and managing stakeholder relationships, ensuring project alignment with business goals.
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