Data Analytics Engineer
Posted on Jul 6, 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: 1657520430