At a Glance
- Tasks: Join us as a Data Scientist, building and executing data models for asset management.
- Company: State Street is a top custodian bank and asset manager serving global institutional clients.
- Benefits: Enjoy flexible work arrangements, comprehensive health coverage, and professional development opportunities.
- Why this job: Be part of a strategic investment in data modelling, enhancing insights and analytics for clients.
- Qualifications: 10+ years in data modelling with expertise in Microsoft Fabric and Snowflake required.
- Other info: We celebrate diversity and foster an inclusive workplace culture.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data modelling and a keen interest in ensuring the usability of models as deliverables. This role involves collaborating with various departments to develop and implement data models that support business processes and enhance service offerings.
About State Street
State Street is a leading custodian bank, asset manager, and asset intelligence company. We provide investment servicing, data & analytics, investment research & trading, and investment management to institutional clients worldwide.
Role Overview
As part of our strategic investment in Alpha, we are building platforms for Data Modelling and Lineage to improve data usability for insight and analytics. The Data Scientist will work closely with clients and prospects on product development, execution, and strategy refinement, reporting to the EMEA ADS lead for ADS practice.
Responsibilities
- Build and execute data models supporting asset management processes.
- Demonstrate understanding of Data Modelling & Lineage, utilizing Microsoft Fabric and Snowflake for data integration.
- Develop user-oriented, metadata-driven views and insights across platforms.
- Track implementation progress and identify key areas for attention.
- Gather and incorporate client feedback into product development.
- Manage the conception, development, and deployment of new data models and services.
- Support planning and prioritization activities.
- Lead data-related projects and provide thought leadership.
- Translate complex projects and client engagements into actionable models and insights.
Skills & Qualifications
- At least 10 years of experience in alternatives and asset management data modeling.
- Expertise in designing data models for analytics and asset management processes.
- Proficiency with Microsoft Fabric and Snowflake.
- Strong organizational and stakeholder facilitation skills.
- Ability to lead complex projects and manage time effectively.
We value diversity and are committed to creating an inclusive environment. Our benefits include comprehensive health coverage, flexible work arrangements, and professional development programs. Learn more at StateStreet.com/career.
Contact Detail:
State Street Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Alpha Data Services, Private Markets Lead, Vice President
✨Tip Number 1
Familiarise yourself with Microsoft Fabric and Snowflake, as these are crucial tools for the role. Consider taking online courses or tutorials to enhance your skills in these platforms, which will demonstrate your commitment and readiness to hit the ground running.
✨Tip Number 2
Network with professionals in the asset management and data modelling fields. Attend industry events or webinars where you can connect with current employees at State Street or similar companies, as personal connections can often lead to valuable insights and referrals.
✨Tip Number 3
Prepare to discuss your experience with data modelling in detail during interviews. Be ready to share specific examples of how you've successfully built and executed data models in previous roles, particularly in asset management contexts, to showcase your expertise.
✨Tip Number 4
Stay updated on the latest trends and challenges in data analytics and asset management. Being knowledgeable about current industry developments will not only help you in interviews but also show that you're proactive and genuinely interested in the field.
We think you need these skills to ace Alpha Data Services, Private Markets Lead, Vice President
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data modelling and asset management. Use specific examples that demonstrate your expertise with Microsoft Fabric and Snowflake, as well as your ability to lead complex projects.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities outlined in the job description, particularly your experience in developing user-oriented data models and gathering client feedback.
Showcase Relevant Projects: Include details of specific projects you've worked on that relate to data modelling and analytics. Highlight your role in these projects and the impact they had on business processes or service offerings.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Scientist role.
How to prepare for a job interview at State Street Corporation
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with data modelling in detail. Highlight specific projects where you've successfully built and executed data models, especially in asset management. Use examples that demonstrate your proficiency with tools like Microsoft Fabric and Snowflake.
✨Understand the Business Context
Research State Street and its role in the financial services industry. Understand how data modelling supports their business processes and enhances service offerings. This knowledge will help you articulate how your skills align with their strategic goals.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration across departments, be ready to discuss your experience working in cross-functional teams. Share examples of how you've gathered client feedback and incorporated it into product development, showcasing your stakeholder facilitation skills.
✨Demonstrate Leadership in Complex Projects
Highlight your ability to lead complex data-related projects. Prepare to discuss how you've managed project timelines, prioritised tasks, and translated complex client engagements into actionable insights. This will show your potential to provide thought leadership in the role.