In the Market Regulation Surveillance Patterns technology team, an expert in this role is vested with responsibilities arising from FINRA’s mission to protect the integrity of US Securities Capital markets. FINRA has a portfolio of ‘surveillance patterns’ that look for manipulative and non-compliant behavior in the database of all transactions that occur in the stock market. The database itself consists of tens of billions of records per day. Analysts work with these large volumes of data using state-of-the-art and industry-standard technologies, all of which are wholly operated in a cloud computing environment.In order to operate with ever-improving effectiveness, the team operates in a rich culture of performance and innovation. Collaboration within the team and with business stakeholders is frictionless, with significant independence offered in order to experiment with better ways of conducting technology for business value. Technological and career growth opportunities are a natural and everyday part of the working environment.
With us you can
- Work in a dream team of A-players, 65% of whom are seniors
- Be sure your opinion matters
- Create solutions that will be used by global giants like Paramount, IBM, Deloitte, Volkswagen, and others
- Shape your success journey through a personalized growth roadmap tailored to your interests and goals
- Embrace agility, forget about micromanagement and old-school hierarchies
What you will do:
- Construct queries to gain an understanding of data sets, discover data anomalies, and look for ways to leverage data in support of FINRA’s regulatory mission.
- Serve as the subject matter expert for specific surveillance products.
- Analyze impacts of enhancements, issues, or changes to data or surveillance products.
- Interact with stakeholders to understand data cases, document and review requirements, and elicit feedback.
- Build strong relationships with stakeholders and develop an understanding of stakeholder needs for advocacy and planning.
- Use statistical and other advanced techniques to analyze and interrogate data for business insights.
- Assimilate and present results and conclusions to a variety of business and technical stakeholders.
Our team is missing someone who has
- Competency in Java or Python (also would consider Scala)
- SQL or data query background (e.g. panda, koalas, pyspark dataframes)
- Strong quality mindset
- Ability to automate based on functional and data requirements
Will be a plus
- Experience with deployed Deep Learning or Machine Learning
- Familiarity with data pipelines (ETL, ELT) or desire to work with them
- Desire to leave the space better than they found it: improve frameworks and processes
About AgileEngine
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