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Python Developer / Lead (Data Projects)

We are looking for a talented Python Developer to join our technology team. This is an initial

12-month contract

with the possibility of extension, as it is part of a long-term project.

The ideal candidate will have strong expertise in

Python development

for financial applications, experience working with

data-driven solutions , and a good understanding of asset management principles. You will support legacy systems and facilitate integration between platforms.

Key Responsibilities: Design, develop, and maintain

Python-based applications

for asset management. Work on

data processing, automation, and analytics

for investment and trading teams. Develop and maintain

APIs

for data integration and system interoperability. Collaborate with

quants, portfolio managers, and analysts

to develop technology-driven solutions. Support and enhance existing applications built with

.NET (C# or VB.NET)

as needed. Optimize code performance and ensure

scalability

for large datasets. Implement

cloud-based solutions

(AWS, Azure, or GCP) for enhanced performance. Ensure compliance with financial industry

security and regulatory standards .

Key Requirements: 5+ years

of experience as a Python Developer, preferably in the financial or asset management industry. Strong knowledge of

Python frameworks

such as Django, Flask, or FastAPI. Good understanding of

data structures, algorithms, and object-oriented programming (OOP) . Experience with

SQL and NoSQL databases

(PostgreSQL, MySQL, MongoDB). Background in other technologies is a plus. Familiarity with financial instruments, risk modeling, and asset management concepts. Knowledge of

DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes)

is a plus. Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications: Experience with

cloud platforms

(AWS, Azure, or GCP). Understanding of

financial data providers

(Bloomberg, Reuters, FactSet). Knowledge of

big data technologies

(Spark, Hadoop) is an advantage.

Argyll Scott Consulting Pte Ltd

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