BlackRock, Inc.-posted 15 days ago
0
Full-time • Mid Level
Hybrid • Princeton, NJ
5,001-10,000 employees
Funds, Trusts, and Other Financial Vehicles

The role will focus on engineering technical solutions to enhance the trading and implementation functions of active portfolio management. The successful candidate will contribute to software development efforts aimed at implementing systematic solutions for trading a high volume of retail and institutional portfolios. This individual will possess strong analytical and quantitative skills, a passion for investing and the markets, and a demonstrated ability to collaborate with a wide range of partner teams and stakeholders. Outstanding attention to detail, excellent interpersonal skills, and a passion for critically thinking about technical solutions for retail portfolio investment management across and within asset classes will define the successful candidate.

  • Develop and deploy sophisticated algorithms to efficiently manage and rebalance SMAs, ensuring optimal performance and alignment with investment strategies
  • Be proficient in understanding processes and applications, quickly learn new systems/applications, and have strong technology skills to develop and drive process efficiencies and automation of manual tasks
  • Design and implement advanced data handling techniques utilizing relational databases and APIs to ensure seamless integration and efficient data management
  • Evaluate emerging technologies to support innovation and strategic objectives
  • Lead projects and initiatives related to process improvement in investment management and trade support functions across equity, multi-asset, and fixed income SMA portfolios
  • Write code that is understandable and maintainable by other team members
  • Mentor junior members of the team
  • Bachelor's degree in Engineering, Computer Science, or related field
  • 5-6 years of experience in financial services in engineering or technology related role
  • Strong programming skills in Python or related experience with modern object-oriented languages (Java, Scala, etc.)
  • Solid knowledge of programming fundamentals-algorithms, data structures, design patterns, and paradigms
  • Familiarity with relational databases and SQL
  • Knowledge of containerized workloads and services such as Kubernetes to support building and releasing software components and deploying them to Kubernetes cluster
  • Strong written and verbal communication skills
  • Solid attention to detail and ability to prioritize responsibilities and ability to handle various tasks in a fast-paced environment
  • employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
  • strong retirement plan
  • tuition reimbursement
  • comprehensive healthcare
  • support for working parents
  • Flexible Time Off (FTO)
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