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NRZ Business Data Analyst

New York

Permanent Capital Vehicles, Private Equity

Ref#: 2155

Date published: 27-Feb-2018

Fortress Investment Group LLC is a leading, highly diversified global investment manager with approximately $43.6 billion (1,2) of assets under management as December 31, 2017. Founded in 1998, Fortress manages assets on behalf of over 1,750 institutional clients and private investors worldwide across a range of credit and real estate, private equity and permanent capital investment strategies. Investment performance is our cornerstone - we strive to generate strong risk adjusted returns for our investors over the long term. As of December 31, 2017, we had 953 asset management employees, including 216 investment professionals, at our headquarters in New York and our affiliate offices around the globe.

Business Data Analyst

New Residential (NRZ), a dynamic, growing, public company Real Estate Investment Trust (REIT) is looking to add a Business Data Analyst to their world-class technology team. The candidate should offer a combination of; strong analytic capabilities, proven database and data analytics expertise, and strong communication skills. He/she will help in shaping and expanding our large scale data analytics platform and associated business analysis and reporting capabilities as well as support our front and middle-office teams in the analysis of large residential mortgage backed securities data sets.

Experience with fixed income/mortgage data/loans would be a plus. Please note that this position will be significantly more technical than a standard Business Analysis role and would be ideal to applicants who wish to expand on their experience analyzing, support and developing Business Intelligence (BI) systems for financial institutions.

Responsibilities

  • Work with New Residential (NRZ) front-office to understand their portfolio management needs for both day-to-day & strategic portfolio management decision making purposes
  • Work with internal and external IT partners to ensure data feeds are accurate and delivered in a timely manner
  • Provision and support of highly available systems in the production, QA, and development environments
  • Resolution of any problems in these systems in a timely and professional manner
  • Work with the software architects and engineers to specify details for adding new functionality to the existing technology suite
  • Work closely with the trading, risk and modeling teams to develop and support tools for mortgage data downloads, analysis and reporting
  • Work within a small team to design, implement and maintain all aspects of loan data management

Skills & Requirements 

  • Bachelor’s degree required, preferred in Information Systems, Computer Science, or other technical background
  • 6-8 years in a similar position, or experience in data mining, data management, financial analysis or other related fields in the financial services industry
  • Strong SQL experience
  • Fixed income market knowledge a plus
  • Prior experience working with cloud based data analysis frameworks a plus
  • Knowledge of business intelligence applications e.g., Microsoft Office (Excel VBA), Tableau, SQL, Power Pivot, etc.
  • Understand concepts of database structures, data querying, ETL, data mining, data auditing and technical documentation is preferred
  • The ability to deal with and resolve conflicting and competing demands, prioritize and organize work to meet deadlines and collaborate with a variety of stakeholders
  • The ability to work within a team environment
  • Excellent verbal and written communication skills
  • Strong problem-solving and multi-tasking abilities

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Fortress Investment Group LLC collectively with its subsidiaries and operating affiliates is an equal opportunity employer and considers all applicants for employment without regard to race, religion, creed, color, sex, age, national origin, citizenship status, disability, genetic information, protected veteran status, marital status, sexual orientation, gender identity, or any other status protected by federal, state or local law.