Head of Data QA
New York, New York, United States
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Full Time Executive-level / Director USD 180K - 200K
Octus
Octus is the leader in sub-investment grade credit intelligence. Empower confident, market-defining decisions with unparalleled data, tools, and insights.Octus
Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets.
For more information, visit: https://octus.com/
Working at Octus
Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more.
Role
The Head of Data Quality Assurance will oversee the design, documentation, implementation and maintenance of a framework of tools and procedures that ensure the highest levels of data quality for client-facing and internal datasets across Octus.
Responsibilities:
Design, implement and manage procedures to analyze and improve data quality. Validate data and identify issues, both at scale and within data ops workflows.
This includes:
- Drive the creation and execution of automated business rule checks and functional testing scripts.
- Define and help enforce prescriptive guidelines for data creation and ingestion processes
- Collaborate with Dataset Owners to establish and maintain quality standards
- Define accuracy/completeness/timeliness metrics that comply with product requirements and data governance guidelines
- Design and implement quality testing protocols tailored for specific datasets
- Help drive the adoption of QA tools, procedures, and guidelines across the Octus organization
- Incident management: identify, prioritize, track, escalate and resolve data-related issues
- Documentation: QA procedures, standards and tools
- Reporting: Create, manage and present data quality reporting metrics/dashboard
- Ensure the Data Quality Assurance team achieves the accuracy/completeness/timeliness metric targets
Requirements:
- 8+ years of database management experience
- BS Degree in either Computer Science or Finance related field
- Demonstrable QA experience
At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.
The salary range estimate for this position is $180,000 – $200,000.
The actual compensation will be at Octus’ sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for an additional annual discretionary bonus.
Equal Employment Opportunity
Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.
Tags: Banking Computer Science Consulting Data governance DataOps Data QA Data quality Excel Finance Testing
Perks/benefits: 401(k) matching Career development Competitive pay Health care Parental leave Salary bonus
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