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Data Analytics Engineering / Data Engineer– FinanceLOCATION: Chicago, IL HYBRID 3 DAYS , 2 DAYS REMOTESELLLING POINTS: In need of 1-3 year data science types with degrees in finance math statistics data visualization EIL API Python R SQL Programming Data Analytics will teach Risk need people who have to learn financial is preferred 5 people in the group
Qualifications:- 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
- Ability to think creatively and present ideas clearly
- Excellent organization skills – must be detail oriented
- Strong interpersonal skills, including excellent written and oral communication skills
- Experience in designing and producing quality reports and presentations with a focus on attention to details
- Ability to interact and collaborate with all levels of the organization and across a multitude of departments is essential
- Ability to manage multiple tasks/projects and deadlines simultaneously, as well as the ability to adapt to shifting priorities
- Experience supporting department efforts in internal audits or regulatory exams, including responses and remediation action plans
- 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
- Bachelor and/or Masters degree in relevant quantitative/analytical field preferred