This Job Vacancy has Expired!

Data Analytics Engineer

Posted on Jul 19, 2022 by Request Technology

Dallas, TX 75201
IT
Immediate Start
$120k - $130k Annual
Full-Time

Data Analytics Engineer

Salary: $120k-$130k + Bonus

Location: Chicago, IL/Dallas, TX

Hybrid role: 3 days in-office, 2 days remote

*We are unable to provide sponsorship for this role*

*Bonus Eligible*

A prestigious financial company is seeking a Data Analytics Engineer

Qualifications

  • 3+ years of hands-on data analytics, science, and/or engineering experience required
  • 3+ years of financial services, risk management, compliance, and/or audit experience required
  • Bachelor and/or Masters degree in relevant quantitative/analytical field preferred
  • Demonstrated analytical and problem-solving skills and the ability to work in a collaborative environment
  • Understanding of securities/derivatives markets and risk management
  • Knowledge of regulatory rules and regulations related to the SEC/CFTC
  • Knowledge of the financial services industry, including the financial, market, liquidity and operational risks of broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities
  • Experience in designing and producing quality reports and presentations with a focus on attention to details
  • Experience supporting department efforts in internal audits or regulatory exams, including responses and remediation action plans

Technical Skills

  • Advanced proficiency in Microsoft Excel and Microsoft PowerPoint
  • Proficiency with data visualization software such as Tableau or Power BI
  • Experience with Alteryx or similar ETL tool
  • Experience with on-prem databases and APIs to access data
  • Experience with Python, R, SQL, and/or VBA

Responsibilities

  • Support system, data, and risk oversight methodology development
  • Review data and risk methodologies during annual reviews
  • Identify underlying methodology assumptions with a comprehensive set of special cases
  • Evaluate different possible approaches/enhancements
  • Monitor enhancements to risk methodologies through full life cycle events
  • Develop and conduct advanced data analytics and reporting to identify and analyze causal links and meaningful relationships (eg, correlations, distributions, percentiles) across large and/or multi-sourced data sets, determine best methods and visuals to communicate analytical insights, and deliver compelling and easy to understand narratives of those insights to support executive decision making

Reference: 1672885287

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