Data Analyst - Financial Domain

TOP RPO LLC; United States; Hybrid; USD 110,000 - 170,000; Full time

Job summary

TOP RPO LLC seeks a data analyst/scientist skilled in financial data and investment tech to derive insights and influence strategy for high-value business solutions. The role requires hands-on coding and AI methods with strong SQL/Python skills and the ability to translate discoveries for business leaders and developers.

Hybrid work in the USA with some onsite travel, and collaboration with stakeholders to evolve data into operational capabilities across investment domains.

Qualifications

• 5+ years of experience as Data Scientist, Business Analyst or related role in Investment & Risk technology domain.
• Application of AI tools and platforms to connect unstructured financial data.
• Experience in Investment Management, Portfolio modeling, Trade/Order Management Systems, Compliance, Enterprise Data Management platforms and solutions.
• Experience in Fixed Income and OTC instruments, including trade/order modeling, reference data, valuation, analytics and portfolio risk analytics.
• Expertise in querying and analyzing large quantities of data using SQL, PL/SQL, Python, Java, Hive, Spark.
• BI tools such as Tableau/Splunk for data visualizations and dashboards.
• ETL tools such as Informatica, Alteryx, Pentaho.
• Design experiments using different data science methodologies and data sources to gauge proxy solutions.
• Running statistical tests and building regression/classification models (logistic, decision tree, PCA).
• Excel advanced features for data modeling and analysis.

Responsibilities

• Provide analytical insights to business leaders, users, developers and stakeholders, evolving data discoveries into operational capabilities.
• Develop working data science solutions applying platforms and AI methodologies.
• Direct solutioning in Investment data domains to address critical problems efficiently.
• Hands-on data-science role with deep coding/AI experience, collaborating within a team or individually.

Skills

SQL

Python

Data analysis

Statistical modeling

Investment data

Problem solving

Excel

Education

Bachelor's or Master’s degree in Finance, Statistics, Economics, Mathematics

Tools

PL/SQL

Hive

Spark

Tableau

Informatica

Alteryx

Pentaho

Java

Job description

A data analyst / scientist with experience in financial data and Investment technology solutions who can develop insights from data and impact strategy and direction of high value business solutions. Require critical thinking and hands on approach using latest AI models and methodologies to analyze business problems and develop solutions from underlying data, and discover new ways/patterns to address critical questions that could not be addressed before.

Well, organized to execute data analysis and solutioning initiatives as an individual contributor and as part of the team. Provide analytical insights to business leaders, users, developers, and other stakeholders, and evolve data discoveries and processes into operational capabilities. Develop working solutions applying platforms and methodologies of data science and AI, and provide bottom-up insights to articulate findings of critical problems. Provide subject matter expertise in the wide range of Investment data domains to direct solutioning effort in the most efficient manner. This is not a top-down consulting role, but a hands-on data-science role with deep experience in coding/AI technologies where applicable.

Requirements

• 5+ years of experience as Data Scientist, Business Analyst or related role in Investment & Risk technology domain
  
• Bachelors or Master’s degree in Finance, Statistics, Economics, Mathematics or related field of study
  
• Application of AI tools and platforms where necessary to connect unstructured financial data
  
• Experience in Investment Management, Portfolio modeling, Trade/Order Management Systems, Compliance, Enterprise Data Management platforms and solutions
  
• Experience in Fixed Income and OTC instruments, including trade/order modeling, reference data, valuation, analytics and portfolio risk analytics etc.
  
• Expertise in querying and analyzing large quantities of data using SQL, PL/SQL, Python, Java, Hive, Spark etc.
  
• Business intelligence tools such as Tableau/Splunk etc. for data visualizations and dashboards
  
• ETL tools such as Informatica, Alteryx, Pentaho etc.
  
• Problem solving for data science projects: Define the analytical target, frame business questions, develop hypothesis, create analysis plans and review/refine, present findings for decision making
  
• Use pivot tables, plotting graphs, visualizations, numeric models, programming and other advanced features in Excel
  
• Design experiments using different data science methodologies, data sources, or elements to gauge the proxy solution of unstructured business problems
  
• Running statistical and hypothesis testing, building regression and classification models including logistics, decision tree, conducting principal component analysis.
  

Job Location: Across USA. Hybrid with some onsite travel when needed

Benefits: Base, Bonus, Medical/Dental/Vision Insurance, 401K.

Opportunity to work on leading industry solutions (first of its kind) with emerging data

science/AI models and methodologies, that will be in top demand for decades forward.

Projects with globally recognized largest financial institutions.