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T. Rowe Price Sr Data Analyst (Financial Markets/Asset Management) in Baltimore, Maryland

A career at T. Rowe Price says you want to contribute and make a difference at a leading global investment management firm where success results from the dedication our associates have in building success for our clients. We are a growing organization of associates from diverse backgrounds, experiences, and perspectives.We take a long-term view on associates and their careers. Our associates do phenomenal work with purpose, and as a result, we provide growth opportunities through in-person and online training, management development programs, and career development on the job.If you are seeking a meaningful work experience along with a workplace culture that thrives on teamwork, we invite you to explore the opportunity to join us.

The Front Office Investments technology team seeks a Senior Data Analyst for a newly established technology-based Investments Reference Data Operations function.

This Technology Data Operations function is dedicated to a new firm-wide, AWS cloud-based single source of truth (SSoT) for security & index reference data, with core analytics. The SSoT serves a wide ranging and sophisticated consumer base including Quant Research, Investment Risk, Performance Attribution as well as Global Trading and Operations groups.

The role will perform a variety of data analysis activities in addition to managing the daily running of the production SSoT, particularly from a data ingestion and data quality perspective. The data domain to be managed is very broad (securities, issuers/legal entities, indices, prices, ratings & classifications), across the asset classes and for diverse Use Cases. In particular, this role will champion the index data set.

Bloomberg PolarLake is a key component of the SSoT, leveraging Bloomberg products & services (e.g. Bloomberg Data License) alongside multiple index vendors and middle office service providers. The data ingestion/distribution pipeline supports multiple consumer access patterns, primarily via API endpoints.

Though this is not a business operations or data processing role, a strong understanding of financial markets & asset management data is expected. Furthermore, though this is not a data science role, some methods and tools of that nature are employed for data analysis purposes (e.g. Python & Pandas).

The successful candidate will enjoy working with and curating a large volume of high value investment data - wrangling, pursuing problems to root cause with tenacity and persistence, and a relentless focus on data quality each day. They will also possess a deep understanding of the data that drives the asset management industry, together with competency in today’s data analysis skills & technologies.

Core Competencies and Responsibilities:

  • Self-starter with excellent problem-solving & critical-thinking skills to meet complex data challenges. Flexible and comfortable with uncertainty in requirements in a fast paced, rapidly changing environment

  • Take ownership and champion data topics, with the flexibility and interpersonal skills to interact across the business and manage a project / team where required. Develop data competences in the Data Operations team and drive out the Data Ops capability

  • Analyze complex data sets in depth for discovery purposes, issues and trends/patterns. Make independent/educated judgements & recommendations regarding appropriate solutions

  • Design, execute and manage bulk data operations across environments, including production

  • Design & develop Data Quality measures, for both run and change initiatives

  • Develop and sustain relationships with data consumers and face off to the internal data consumers for daily operations of the SSoT

  • Monitor the daily running of the production SSoT, particularly with respect to correct data ingestion and data quality achieved. Manage data-related interventions through to resolution

  • Monitor Data Product usage & costs including Bloomberg Data License and assist in data vendor on boarding & management activities

  • Create and maintain key artifacts for the SSoT such as end consumer on boarding guides, ‘as built’ high level documentation and daily running procedures

  • Assist in team planning and assist in the wider team’s Change Management to enable change projects & business requests

Qualifications

Minimum Qualifications:

Along with the responsibilities and competencies specified above, we are looking for an individual who possesses a positive, action-oriented attitude and understands the importance of taking initiative within a team environment.

  • Minimum BSc in Engineering, Mathematics, Physics, Computer Science or equivalent experience

  • 3 - 5 years asset management / investment banking industry experience

  • Excellent data analysis skills (investigation, modelling, mapping and gap analysis)

  • Excellent experience across relevant data technologies such as SQL and Python (with Pandas) to execute data wrangling, investigations and manipulations on very large, fast moving data sets

  • Strong experience in Data Management, particularly Data Governance initiatives around ongoing Data Quality improvement. Experience or exposure to Data Architecture initiatives

  • 3 - 5 years of demonstrated data experience with financial instruments (fixed income including Munis & mortgage-backed, equity and derivatives), indices and associated asset management data (issuers, classifications, prices, ratings). Preferably obtained in the Asset Management industry

  • Highly proficient or expert in Bloomberg data products (Back Office files, Per Security, Terminal)

  • Experience with complementary data expertise such as data visualization, data mart / warehousing or business intelligence tools

  • Complementary Business Analysis and Technical Analysis skills specifically related to investment data requirements

Preferred Qualifications

  • Index & constituent data expertise across index vendors (highly advantageous)

  • Experience with other data vendor products beyond Bloomberg (alternative security reference data providers)

  • Experience with leading Enterprise Data Management systems such as Bloomberg PolarLake (highly preferred) or Markit EDM / Cadis

  • Experience or exposure to other programming tool sets, e.g. Jupyter Notebook, data formats such as parquet & JSON

  • Experience with asset management systems, preferably Eagle or Charles River (CRD)

  • Project & Change Management skills especially experience working in an Agile (SCRUM, XP, Kanban) environment/team focusing on sprint by sprint deliveries

  • Experience facing off to asset management data consumers such as trading or risk divisions

  • Experience with Cloud-based infrastructure, particularly AWS

Job Family: Business Analyst

Level: KM3

We devote a lot of energy to ensuring we offer our associates wellness, retirement and quality-of-life benefits which incorporate a wide variety of needs. Please view What We Offer (https://www.troweprice.com/corporate/en/careers/what-we-offer.html) to see what's available to you.

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on–now, and over the long term.

Not ready to apply? Join our Talent Community (https://troweprice.gr8people.com) !

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