Data Analyst

Company:
Location: Wrocław, dolnośląskie

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BNY Mellon powers individuals and institutions to succeed in the global economy providing investment management, investment services and wealth management. BNY Mellon is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BK).
With a dedicated business presence on six continents and in 35 countries, BNY Mellon delivers global scale at the local level.
The Global Delivery Centre in Wroclaw is a growing location, predominately providing support services to BNY Mellon entities in the areas of fund accounting and investment operations.

Department/Team overview

The Eagle Managed Services (EMS) is part of BNY Mellon’s Asset Servicing business who works closely with a client’s front office, delivering services through the Eagle platform. EMS provides development and support for investment performance analysis, business operations for data management, data stewarding of job execution and workflows, data enrichment, and a wide variety of information delivery to client’s and their external partners.
Working hours – Standard Shift- 8 am to 5 pm Poland time.

Your role



We have an exciting opportunity for a talented Senior Representative, Data Management & Quantitative Analysis to join our team in Wroclaw. As Analyst you will be responsible for supporting global clients in day-to-day operational market data needs, performing data stewarding and data management support through utilization of Eagle application. Supports day-to-day data management activities. Monitors data feeds and performs data scrubbing for security reference, portfolio reference and various asset type activity. Identifies and documents violations, exceptions, or occurrences exceeding tolerance thresholds. Independently compiles, synthesizes and reports on market data sources.

As a successful candidate you will be given opportunity to acquire and develop knowledge from related fields:
  • Adds and maintains data on Eagle’s systems, inputs and verifies accuracy of information.
  • Ensures information entered by more junior team members is accurate
  • Tests software enhancements and upgrades as necessary, and may provide recommendations for improvement.
  • Contributes and responses to data-related questions from internal and external clients and helps provide solutions.
  • Ensures that all customer responses are thoroughly documented and verified.

Qualifications


Qualifications

  • Bachelor’s degree or the equivalent combination of education and experience.
  • 2-5 years of total work experience preferred.
  • Experience in the financial industry preferred.
  • Familiarity with market data sources such as Bloomberg, IDC, FactSet, etc.
  • Strong verbal and written communication skills
  • Good problem-solving skills with excellent attention to detail

Our offer



  • Full time contract of employment
  • City Centre locations close to main railway station and flexible working arrangements
  • Flexible benefits package, including life and medical insurance, health screening, fitness discount programme, employee assistance program
  • Award-winning Wellbeing Program supporting you with your unique health and wellbeing needs
  • Pension scheme
  • On-site childcare and a parental buddy programme
  • Exciting opportunities for career and global mobility
  • Diverse and inclusive environment
  • Employee Referral Program
  • Recognition programmes
  • A multitude of opportunities to get involved in charity projects and Employee Resource Groups (ERGs)


BNY Mellon is an Equal Employment Opportunity Employer.
Our ambition is to build the best global team – one that is representative and inclusive of the diverse talent, clients and communities we work with and serve – and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.

Primary Location: Poland-Dolnoslaskie-Wroclaw
Job: Asset Servicing
Internal Jobcode: 70655
Organization: Data-HR08406
Requisition Number: 2107428

*** Mention DataYoshi when applying ***

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