Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world.
Job Description
- Establish a long-term data reporting architecture vision, strategy, and technical roadmap with a deep understanding of DoubleLine’s data pipelines across service providers and vendors.
- Establish trust and confidence in data accuracy across the firm by ensuring high data quality, governance and traceability, as well as establishing adoption through education, training, and documentation.
- Provide analysis and oversight of data needs for new business activities and system integrations, working closely with Database Development to ensure data accuracy.
- Collaborate with the Head of Data Management, Risk Analytics, and Database Development to deliver high-quality data repositories (e.g., warehouse, lakehouse).
- Deliver solutions for self-service reporting by utilizing curated data sets and models.
- Utilize knowledge of data platforms (e.g., Snowflake, Databricks, Alteryx), cloud technologies, enterprise software, API integration, and UX solutions for reporting and dashboards.
- Participate in quick proof-of-concepts of advanced analytics, predictive analytics, machine learning, scenario analysis, and historical regression testing where business value is confirmed.
- Lead a team of 5-10 developers and analysts, ensuring best practices in all data technologies and operations.
- Troubleshoot, solve problems and provide hands-on leadership during challenging periods.
- Stay updated on new data technologies, industry trends, and technology trends to bring innovative ideas to the firm
Qualifications
Qualifications
- BS in Computer Science, Computer Engineering, Data Science, MIS, or related field.
- Minimum 10 years working in technology, within the financial services industry (preferably asset management) and at least 5 years leading significant data projects.
- Experience with fixed income investments.
- Proven track record in defining and establishing enterprise data management strategies and implementing data solutions and technology platforms.
- Proficient with SQL and data analysis tools.
- Proficient in multi-stakeholder relationship management.
- Excellent interpersonal, written, and verbal communication skills.