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Associate, Securities Lending Analytics

Salary

$146.8k - $162k

Min Experience

2 years

Location

New York, NY

JobType

full-time

About the job

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About the role

Develop quantitative insights using Aladdin, Securities Lending, and alternative datasets to improve decision-making and manage investment risk across the Securities Lending business. Deliver the full capabilities of BlackRock's proprietary analytics to the client and investment professionals within the Securities Lending business and partner organizations. Leverage modeling and reporting capabilities to help clients, traders, product strategists, and senior management understand the risk, returns, and exposures of the firm's investment activities. Build dashboards, visual analytics and web-based tools to improve performance measurement and management, business intelligence, and operational efficiency. Maintain the quality and content of the analytical reporting on client portfolios' exposures, risk, and performance. Lead the build out of prototypes and research new analytic solutions to solve sophisticated business problems and directly improve the team's investment strategy and performance. Conduct complex data analyses through data gathering, processing, modelling, analysis and data science. Manage and expand the business derived data platform that delivers reliable data to the Securities Lending business through the articulation of data strategy and the buildout of technical requirements for the business' data engineering needs leveraging data engineering and database expertise. Four (4) days in office and one (1) day remote per week.

About the company

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

Skills

sql
python
scikit-learn
pandas
numpy
tensorflow
pyspark
git
bitbucket
informatica
aws s3
azure blob
snowflake
aws redshift
bigquery
power bi
tableau
quick sight
unix
aws ec2
azure virtual machines
aws emr
amazon neptune
allegrograph
azure cosmos
streamlit
azure functions
aws lambda
aws eventbridge