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Sr. Data Analyst/Engineer & Integration specialist: Investment & Risk Technology

Vertus Enterprises Inc. dba CMIT Solutions, JCMCH

New York (NY)

Hybrid

USD 124,000 - 129,000

Full time

6 days ago
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Job summary

A leading company in New York seeks a Data Analyst / Scientist with over 5 years of experience in financial data and investment technology. This role focuses on developing actionable insights to support high-value business solutions using advanced AI methodologies. Candidates should possess strong critical thinking skills and hands-on experience with a variety of analytical tools.

Benefits

Base Salary
Bonus
Medical/Dental/Vision Insurance
401K

Qualifications

  • 5+ years of experience in Data Science or Business Analysis.
  • Experience with AI tools for financial data.
  • Strong expertise in querying large datasets.

Responsibilities

  • Develop insights from financial data for strategic business solutions.
  • Analyze business problems using AI methodologies.
  • Provide analytical insights to stakeholders.

Skills

Critical Thinking
Data Analysis
Statistical Testing
Business Intelligence
Problem Solving

Education

Bachelors or Master’s degree in Finance, Statistics, Economics, Mathematics

Tools

SQL
Python
Java
Tableau
Informatica

Job description

Get AI-powered advice on this job and more exclusive features.

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.

Qualifications and skills:

  • 5+ years of experience as Data Scientist, Business Analyst or related role inInvestment & 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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    IT Services and IT Consulting

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