Related skills
sql python git mlops ml📋 Description
- Lead deployment of LLM and analytics platforms for data-driven trading decisions.
- Manage ML Ops: AI model lifecycles, fine-tuning, evaluation for scalable finance data.
- Define data strategy & governance: ingestion, annotation, transformation for analytics.
- Build AI-powered research tools: conversational interfaces for data exploration and reporting.
- Enable cross-functional leadership: align AI features with investment research goals.
- Design internal tooling to boost data ops throughput and quality.
🎯 Requirements
- 6-10 years in product mgmt, data platforms, or AI/ML in finance.
- Strong ML, data science, and model fine-tuning knowledge.
- Proven ability to manage complex data ecosystems with stakeholders.
- Proficient in Python, PySpark, SQL, Git, HTML, CSS.
- Experience linking AI solutions to business outcomes in asset mgmt/trading.
- Bachelor's in Engineering, Physics, or related field; advanced degree preferred.
🎁 Benefits
- Amazing work culture: collaborative and supportive, 5 days a week.
- Awesome colleagues from Meta, Google, LinkedIn, and startups.
- Competitive compensation.
- Flexible working hours.
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