PM Engagement Analyst
Miami, FL · On-site
The ideal candidate will have a strong analytical mindset, foundational technical skills in Python ... Familiarity with visualization and analytics tools (Plotly, Streamlit, Dash). * Interest in AI ...
PM Engagement Analyst
Miami, FL · On-site
The ideal candidate will have a strong analytical mindset, foundational technical skills in Python ... Familiarity with visualization and analytics tools (Plotly, Streamlit, Dash). * Interest in AI ...
Python Dash Plotly information
What is a Python Dash Plotly developer?
Python Dash Plotly developers are professionals who specialize in building interactive web applications and data visualizations using the Dash framework and Plotly library in Python. Dash is a powerful open-source framework designed for creating analytical web applications without requiring extensive knowledge of front-end technologies. These developers use Dash and Plotly to create dashboards, data analytics tools, and visual reports that allow users to interact with complex data in real time. Their work often involves integrating data sources, designing user interfaces, and deploying applications for business intelligence or scientific research.
What are the key skills and qualifications needed to thrive as a Python Dash Plotly developer?
To excel as a Python Dash Plotly Developer, you need strong proficiency in Python programming, data visualization principles, and experience with the Dash and Plotly libraries, often backed by a degree in computer science or a related field. Familiarity with tools such as Git for version control, REST APIs, and cloud platforms, as well as knowledge of front-end technologies like HTML and CSS, is typically required. Excellent problem-solving, attention to detail, and the ability to communicate complex data insights clearly are crucial soft skills. These skills enable the creation of interactive, scalable data applications that effectively support business decision-making.
What are some common challenges faced by professionals working with Python Dash and Plotly in a collaborative team environment?
Collaborating on Python Dash and Plotly projects often involves managing code versioning, ensuring consistent styling, and coordinating updates to interactive dashboards. Teams may face challenges integrating user feedback quickly while maintaining code quality and performance, particularly when dashboards grow in complexity. Effective communication about data sources and deployment processes, as well as clear documentation, are key to overcoming these hurdles. Regular code reviews and adopting best practices for modular code can help ensure smooth collaboration and scalable dashboard development.
What is the difference between Python Dash Plotly vs Data Analyst?
| Aspect | Python Dash Plotly | Data Analyst |
|---|---|---|
| Primary Role | Developing interactive data visualization dashboards | Analyzing data to generate reports and insights |
| Skills Required | Python, Dash, Plotly, JavaScript basics | Excel, SQL, statistical analysis, data visualization |
| Work Environment | Data visualization development teams, tech companies | Business units, consulting firms, finance, marketing |
| Certifications | Python certifications, data visualization courses | Data analysis, Excel, SQL certifications |
Python Dash Plotly professionals focus on creating interactive dashboards using Python, while Data Analysts interpret data and generate reports. Both roles require data skills but differ in technical focus and end goals.
What are popular job titles related to Python Dash Plotly jobs in Miami, FL?
For Python Dash Plotly jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Python Dash Plotly jobs in Miami, FL look for?
The top searched job categories for Python Dash Plotly jobs in Miami, FL are:
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are seeking a highly motivated PM Engagement Analyst to support the senior PM Engagement team in their work with Portfolio Managers and analysts within our Long/Short Equity business at a leading multi-strategy hedge fund. This role sits at the intersection of investing, data, analytics, and technology, helping teams leverage data, factor analytics, and internal tools to improve research workflows and investment decision-making. The ideal candidate will have a strong analytical mindset, foundational technical skills in Python and SQL, familiarity with factor models and equity investing, and a desire to work closely with front-office investment professionals in a fast-paced environment.
Key Responsibilities
- Partner directly with senior members of the L/S engagement team to support data-driven workflows analyzing L/S PM performance and trading behavior.
- Support engagement team on ad hoc analysis, portfolio diagnostics, and research tooling.
- Work with factor models and portfolio analytics frameworks to help investment teams better understand exposures, risk, and performance drivers.
- Analyze portfolio positioning, style exposures, and alpha signals across L/S Equity strategies.
- Support workflows related to risk decomposition, factor attribution, and portfolio construction.
- Use Python and SQL to analyze large datasets, automate workflows, and build lightweight analytical tools.
- Help improve internal data workflows and reporting processes for investment teams.
- Work closely with data teams and quant researchers, to identify gaps in workflows and improve the investment process.
- Contribute to the rollout and adoption of internal analytics and research tools.
Required Qualifications
- 2-4 years of experience within financial services, ideally supporting investment teams, research workflows, data analysis, or portfolio analytics.
- Foundational proficiency in Python and SQL
- Comfortable working with large datasets and performing data analysis
- Understanding of fundamental Long/Short Equity investing
- Familiarity with factor models, portfolio analytics, and risk concepts
- Strong judgment and intellectual curiosity
- Ability to not just produce analysis but also present it in a clear and engaging manner
Desirable Skills
- Experience with portfolio/risk platforms such as Barra, Axioma, FactSet, Bloomberg, or similar tools.
- Exposure to alternative data workflows and equity research processes.
- Familiarity with visualization and analytics tools (Plotly, Streamlit, Dash).
- Interest in AI-driven research workflows and modern data tooling.
About Verition Fund Management
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Greenwich, CT, US
Year founded
2008