Senior Quantitative Analyst validating the Standard Initial Margin Model in investment banking. Involves quantitative validation and risk analysis in a regulated environment.
About the role
- Data Analyst developing and managing strategic insights to leverage data as a strategic asset. Collaborating with teams for data extraction and processing.
Responsibilities
- Develop and promote data as a strategic asset by applying data management, metadata, and data quality practices.
- Define, propose, and monitor indicators related to the organization, stability, quality, and availability of information. Knowledge and skills: experience in data extraction and processing – SQL, Python, Power BI or Spotfire; dashboard design; data storytelling; and statistics.
Requirements
- Education: University degree in final year or completed certification.
- Required technical knowledge:
- · Experience in data extraction and processing – SQL, Python, Power BI or Spotfire; dashboard design; data storytelling; and statistics.
- Certification: Not required
Benefits
- Health insurance;
- Dental plan;
- Prudential insurance: employees are provided, at no cost, with life insurance, funeral assistance, and a birth benefit package, according to the insurer’s specific rules;
- Meal voucher or food allowance;
- Transportation voucher: provided for the commute between home and work; a monthly deduction of 6% of the salary applies, limited to the value of the benefit (optional);
- Day off: employees receive a day off for their birthday, to be taken on the date and/or within the birthday month;
- Payroll-deductible loan (consigned loan);
- Partnerships and agreements (educational institutions, gyms, language courses, among others);
- Workplace exercise sessions.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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