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Senior Data Scientist - Job Opportunity at State Street

Singapore, SG
Full-time
Senior
Posted: April 19, 2025
On-site
SGD 180,000 - 250,000 per year based on Singapore's financial sector compensation trends for senior AI roles

Benefits

Competitive AI industry compensation package
Professional development opportunities in cutting-edge AI research
Global exposure working with cross-functional teams
Career advancement in a leading financial institution

Key Responsibilities

Design and develop sophisticated AI/ML models with focus on algorithmic efficiency and scalability
Lead model validation and optimization initiatives for financial market applications
Drive implementation of production-grade AI solutions across multiple business domains
Collaborate with cross-functional teams to deliver enterprise-scale AI products
Establish model monitoring and improvement frameworks

Requirements

Education

Master's or Ph.D. degree (preferably in Computer Science, Mathematical Finance, Statistics, Data Science, and Financial Engineering)

Experience

3+ years

Required Skills

Solid background in mathematics including statistics, probability theory, PDE, linear algebra, stochastic calculus, differential equations Modern object-oriented or functional programming (Python, C++, SQL) Python and common data science libraries Public cloud development (Azure AML or AWS SageMaker) Financial instrument knowledge Machine learning and deep learning expertise Linux/Bash scripting Data management tools (Snowflake, PostgreSQL, Hadoop) CI/CD tools (GIT, Maven, Jenkins)
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Sauge AI Market Intelligence

Industry Trends

Financial institutions are increasingly integrating AI capabilities into core business functions, particularly in risk management and investment strategies There's a growing emphasis on explainable AI and model interpretability in financial services Cloud-based AI development platforms are becoming standard in enterprise environments The intersection of quantitative finance and machine learning is creating new opportunities in algorithmic trading and portfolio management

Role Significance

Typically part of a 10-15 person specialized AI team within a larger technology organization
Senior individual contributor role with significant technical autonomy and potential for technical leadership

Key Projects

Development of proprietary trading algorithms Risk assessment and portfolio optimization systems Natural language processing for market sentiment analysis Automated reporting and decision support systems

Success Factors

Deep understanding of both financial markets and machine learning algorithms Ability to translate complex mathematical concepts into practical solutions Strong software engineering practices for production-grade AI systems Effective communication with both technical and business stakeholders

Market Demand

Very high demand with limited talent pool due to specialized combination of AI expertise and financial domain knowledge

Important Skills

Critical Skills

Deep learning expertise with focus on financial applications Advanced mathematics and statistical modeling Production-level Python development Financial market knowledge

Beneficial Skills

Cloud architecture expertise DevOps practices Blockchain and cryptocurrency knowledge Quantum computing awareness

Unique Aspects

Rare combination of pure AI research and practical financial applications
Opportunity to work on global-scale financial data and systems
Access to cutting-edge AI infrastructure and resources
Balance of academic rigor and practical implementation

Career Growth

2-3 years in role before advancement, depending on project impact and leadership capability development

Potential Next Roles

Lead Data Scientist AI Technical Director Machine Learning Architecture Lead Head of Quantitative Research

Company Overview

State Street

State Street is one of the world's largest custody banks and asset managers, with significant technology investments

Leading position in financial services technology with growing emphasis on AI integration
Singapore serves as a key APAC hub for State Street's technology initiatives
Traditional financial institution culture balanced with modern technology practices and innovation focus
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  • Critical success factors and key skills
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