Drive innovation by leveraging alternative data for strategic investment insights. Collaborate globally to enhance data-driven initiatives and technical methodologies. Thrive in a dynamic environment fostering professional growth and interdisciplinary expertise.
Alternative Data Analyst
in Financial Services PermanentJob Detail
Job Description
Overview
- Collaborate with cross-functional teams to leverage alternative data for investment strategies and decision-making processes.
- Develop expertise in applying diverse data sources to identify market opportunities and trends.
- Engage in a dynamic, collaborative environment that fosters innovation and professional growth.
- Contribute to thematic analyses and generate actionable insights for investment recommendations.
- Operate with high autonomy while ensuring alignment with organizational objectives and compliance standards.
- Partner with global teams to enhance data-driven initiatives and technical capabilities.
- Support interdisciplinary projects that integrate quantitative and qualitative research methodologies.
- Drive innovation by exploring novel data applications and investment perspectives.
Key Responsibilities & Duties
- Identify and evaluate alternative data sources to support investment hypotheses and decisions.
- Develop and implement analytical models to extract actionable insights from diverse datasets.
- Monitor market trends and data quality to ensure robust investment analysis.
- Communicate findings and strategic recommendations effectively to stakeholders and leadership.
- Collaborate with global teams to provide technical guidance and enhance data utilization strategies.
- Ensure compliance with legal and regulatory standards related to data integrity and usage.
- Contribute to cross-departmental initiatives to advance organizational data-driven capabilities.
- Lead projects from conceptualization to execution, delivering impactful investment insights.
Job Requirements
- Bachelor’s degree in a technical or quantitative field with a strong academic record.
- Minimum of seven years of experience in data analysis or related roles.
- Proficiency in Python, SQL, and advanced Excel for data manipulation and analysis.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills to present complex findings effectively.
- Ability to manage and execute complex projects independently and collaboratively.
- Familiarity with legal and compliance frameworks related to data usage.
- Experience in technology or consumer sectors is advantageous but not required.
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