Tech Solutions Associate: Build Scalable Finance Tools

PwC; Indonesia; On-site; IDR 120,000,000 - 200,000,000; Full time

Job summary

PwC is seeking a Technology Solutions Associate (CMAAS) to join our Tech Solutions team within Capital Markets and Accounting Advisory Services. You will build scalable, reusable tools and data-driven solutions that clients can run after engagement ends.

You will translate complex business problems into logical technical requirements, work with Python, C#/.NET, SQL, and modern data architectures, and collaborate with teams to deliver secure, well-documented code and hands-on knowledge transfer.

Qualifications

• Bachelor's Degree in STEM, IS, CS, or business/finance with technical focus.
• Strong interest in fintech at intersection of business, finance and technology.
• Proficiency in Python or C#/.NET Core for backend logic and automation.
• Strong SQL skills for data processing and manipulation.
• Experience with Git for version control.
• Familiarity with APIs and web-app frameworks is a plus.

Responsibilities

• Deliver reusable solutions, tools, pipelines, and applications that clients can run independently.
• Support solution delivery by configuring enterprise platforms or building applications.
• Incorporate AI/GenAI, automation, and modern data architectures into client work.
• Translate financial/business challenges into technical requirements.
• Write clean, well-documented code and configurations for smooth handovers.

Skills

Python

C#/.NET

SQL

OOP

Git

Analytical thinking

Communication

Teamwork

Education

Bachelor's Degree in STEM/IS/CS or Business/Finance with tech

Tools

FastAPI

MVC patterns

HTML/CSS/JS

Power BI

Tableau

Azure

AWS

GCP

Job description

PwC is seeking a Technology Solutions Associate (CMAAS) to join our Tech Solutions team within Capital Markets and Accounting Advisory Services. You will build scalable, reusable tools and data-driven solutions that clients can run after engagement ends.

You will translate complex business problems into logical technical requirements, work with Python, C#/.NET, SQL, and modern data architectures, and collaborate with teams to deliver secure, well-documented code and hands-on knowledge transfer.