What you will be responsible for:

• 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.
• Strong working knowledge of financial and statistical concepts. Ability to manage multiple projects and deadlines while maintaining strict attention to details.
• 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. Create end to end infrastructure for data gathering, data analysis, cleaning, signal generation & model implementation.

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.
• Hands on Cloud AWS or Azure using Databricks, Postgres DB experience.
• Demonstrable experience with a range of common Python packages including NumPy, Pandas, matplotlib, SAlib, Scikit-learn. Independently address and resolve production issues and perform root cause analysis.
• A deep understanding of Python basics, 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.
• Experience working with large and complex data sets and coding solutions to address requirements of financial institutions, with a working knowledge of banking regulations preferred.
• Building CI/CD pipelines and integration with Github, JIRA, creating data pipelines, automation using AUTOSYS/AIRFLOW, Databricks.
• Establish processes and procedures for managing and accessing large databases, and for optimizing repetitive or computationally intensive tasks. Write technical documentation, functional documentation, maintain compliance requirement.
• Excellent interpersonal, Strong Written and Oral communication, presentation skills. Ability to explain complex concepts in a clear and concise manner.

Good to have skills:

• MLOps and Quantitative Mathematical Model Development experience/implementation using multi-Asset data is plus.
• Experience in quantitative financial research and market data analysis familiarity with vendors pricing and fundamentals dataset. 4~5 years experience in buy-side or sell-side research is desirable.

Qualifications: Bachelor’s or Master’s degree required in finance or econometrics or mathematics, Science/engineering or similar fields. Quantitative data modeling experience is desirable.

Work Schedule: Hybrid

Why is this role 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 the department:

State Street Markets Research and Data Intelligence products cutting edge research in investor behavior, portfolio risk and asset allocation in multi-asset classes including Equity, Fixed Income, FX and Private Equity. Markets Research a.k.a State Street Associates, LLC (SSA) is a unique partnership of industry and academia dedicated to delivering preeminent research in investor behavior, global asset allocation, risk management, and foreign exchange to investment managers and asset owners. Research staff work in a collegiate environment just off Harvard Square, Cambridge, USA and Business/Technology teams present in other Countries UK/HSK/China/India designed to foster creative and groundbreaking thought.
 

Our work is extensively peer reviewed and published in academic and practitioner journals. Our business objectives are to promote State Street’s brand as the leading provider of knowledge resources, decision support and advisory services to global investors and provide valuable, proprietary research to clients in support of our sell-side business, State Street Markets. Research direction is provided by leading academics from Harvard and MIT.
 

Are you the right candidate? Yes!

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

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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