Role Summary:

Looking for a Senior Python Developer with 8~10 years of IT experience, strong min 5+ years in python code development. Who will play a key role in Financial Data Analysis, Data Model development/implementation on large dataset, time series data analysis, data anomaly deduction. Strong mathematical quantitative background with hands on Data engineering tools and technics, prefer with application development in Finance domain.

Role Description:

• Implement financial models in Python according to specifications provided by modelers and business users, and suggest best practices for high performance and automated execution

• Automate advanced data aggregation methodologies for stand-alone execution in controlled environments

• Implement on-the-fly and static data enrichment logic; implement heuristics to regularly monitor wide variances in critical data

• Establish processes and procedures for managing and accessing large databases, and for optimizing repetitive or computationally intensive tasks

• Write technical documentation, present and defend results to independent Model Validation team, senior management, and regulators

• Expert understanding of Python Core concepts, including both functional and class-based design.

• Demonstrable experience with a range of common Python packages including NumPy, Pandas, matplotlib, SAlib, Scikit-learn, with proficiency in at least one Python web framework (e.g. Django, Flask, Pyramid) desired

• Good understanding of Data Structures, proficient knowledge in RDBMS, SQL, Oracle, Cloud AWS/Azure, Databricks/Snowflake, PostgreSQL/Redshift etc.

• Experience in writing effective and scalable Python codes independently

• A deep understanding and multi-process architecture and the threading limitations of Python

• Independently address and resolve production issues and perform root cause analysis

• Experience working with large and complex data sets and coding solutions to address requirements of financial institutions, with a working knowledge of financial Modeling experience preferred

Core/Must have skills:

• Expert understanding of Python Core concepts, including both functional and class-based design.

• Experience in writing effective and scalable Python codes independently, AWS Cloud, Databricks, Python, PySpark programming, RDBMS, SQL, PL/SQL, Autosys or Airflow, Unix/Linux, CICD, Agile framework experience.

• A deep understanding and multi-process architecture and the threading limitations of Python

• Implement financial models in Python according to specifications provided by modelers and business users, and suggest best practices for high performance and automated execution

• Automate advanced data aggregation methodologies for stand-alone execution in controlled environments

Good to have skills:

• Demonstrable experience with a range of common Python packages including NumPy, Pandas, matplotlib, SAlib, Scikit-learn, with proficiency in at least one Python web framework (e.g. Django, Flask, Pyramid) desired. Data Science, Matlab, ML Ops

• Establish processes and procedures for managing and accessing large databases, and for optimizing repetitive or computationally intensive tasks.

• Write technical documentation, present and defend results to independent Model Validation team, senior management.

Work Schedule: Hybrid

Why this role is important to us:

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation. We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company. Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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