Cloud Software Engineer
Analytic Recruiting Inc.Madison, WIjob_description.job_card.30_days_ago
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job_description.job_card.job_descriptionBachelor’s degree in finance, business, engineering, computer science, economics, math, data science or related 3+ years of experience with data science, data analytics, investment analysis, or similar. Exceptional verbal and written communication skills, adept at conveying complex data concepts non-technical stakeholders. Proficient in programming languages such as Python, SQL, or R for data manipulation, analysis, and model development. Skilled in developing and deploying ML models, utilizing techniques such as regression, classification, and clustering. Knowledge of cloud platforms (e.g. Azure, AWS) for data storage and processing, deploying data solutions in cloud environments. Experience with data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives. Experience deploying reports utilizing automated processes and CI / CD techniques Experience implementing testing tools and data quality metrics, processes to ensure overall data quality of reports Interest or experience in investment management, quantitative finance and technology.
Job Description :
A well-established investment firm with over $100 billion in AUM is seeking a Software Engineer with AWS / Azure experience to enable data-driven decision-making through innovative analytical solutions and models. This person should have investment industry knowledge to allow for effective data analysis, modeling, and validation.
Salary : Up to 175k base + 40%% bonus
Location : Madison, WI (3 days / week for Madison residents OR 1 day / week for candidates traveling 1+ hour)
Responsibilities :
- Communicate complex data concepts to technical and non-technical stakeholders.
- Utilize programming languages such as Python and SQL for data manipulation, analysis, and model development.
- Implements data quality frameworks and conducting data validation ensuring accuracy of analysis.
- Develop and deploy models, utilizing techniques such as regression, classification, and clustering.
- Create interactive visualizations (e.g. Power BI, Streamlit) to effectively communicate data findings.
- Deploy data solutions in cloud environments (e.g. Azure, AWS).
- Utilize data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.
Requirements :
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Software Engineer Cloud • Madison, WI
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