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Senior Specialist, Data Management

Pittsburgh, PA, United States

Pay
Pay not listed
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at BNY Mellon

What you’ll work on

Full posting
  • Collect and periodically update macroeconomic and financial data sets

  • Review data for revisions and accuracy

  • Maintain documentation for data procedures

  • Support model development by working with model developers

  • Collaborate with vendors and forecasting partners across the company

From the employer’s posting
collecting data, periodically updating existing data sets
reviewing data for revisions and accuracy
maintaining documentation for data procedures
Support model development by working closely with model developers
Collaborate with vendors, key forecasting partners across the company

What you’ll bring

All qualifications

Core experience

  • 2+ years in research, forecasting, or business analytics at a financial institution or similar
  • Strong quantitative skills and background or interest in economics
  • Detail-oriented, able to synthesize large amounts of data
  • Excellent organizational and verbal and written communication skills
  • Proven track record of meeting deadlines under pressure
Qualification wording
2+ years of work experience in research/forecasting/business analytics for a leading financial institution/central bank, consulting firm or similar
Strong quantitative skills
Extremely focused, detail oriented and highly productive with ability to synthesize large amounts of data
Excellent organizational and communication (verbal and written) skills
A proven track record of executing deliverables and meeting deadlines under pressure
Education & alternatives
To be successful in this role, we’re seeking the following: - Strong quantitative skills: Master’s degree in a quantitative discipline, including Economics/ Econometrics/Quantitative Finance/Statistics, etc. is preferred. - 2+ years of work experience in research/forecasting/business analytics for a leading financial institution/central bank, consulting firm or similar, with a strong background/interest in economics

Tools in this posting

  • Python
  • R
Source — Tool mentions in context
- Strong interpersonal and negotiation skills are essential for achieving goals in a complex, high-priority environment. - Programming skills in R or Python are preferred but not required. To be successful in this role, we’re seeking the following:

Posting record

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Status in our records
Live
First seen by us
Sep 17, 2026 · 42 days ago
Recorded sightings
180
Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

We’re seeking a future team member for the role of Senior Specialist, Data Management to join our Economic Forecasting team. This role is located in Pittsburgh, PA or Lake Mary, FL. 

The Economic Forecasting Group (EFG) is part of the Risk Modeling group within the Risk & Compliance (R&C) division of the Bank of New York (BNY). EFG is responsible for scenario design and expansion in support of several exercises including (1) the BNY's regulatory stress-testing (including the CCAR/DFAST and EBA/ECB stress tests), (2) quarterly CECL/IFRS 9 reserve estimation, and (3) ad hoc scenario-based analyses as frequently as requested by senior management. The scenarios provided by EFG encompass the joint evolution of macroeconomic aggregates (GDP, inflation, unemployment, etc.) and financial market indicators spanning several distinct asset classes. 

In this role, you’ll make an impact in the following ways:

  • Responsible for managing macroeconomic and financial data. 
  • Key responsibilities include collecting data, periodically updating existing data sets, reviewing data for revisions and accuracy, and maintaining documentation for data procedures. 
  • Support model development by working closely with model developers.
  • Collaborate with vendors, key forecasting partners across the company, consumers of macroeconomic scenarios, and subject matter experts.
  • Assist in managing inbound questions, deliverables, and ad hoc requests, with a strong emphasis on accuracy and the timely completion of deliverables within prescribed timelines.
  • Requires regular written and verbal interaction with downstream modelers who use macroeconomic scenarios, as well as with various teams across the bank, including Finance, Treasury, and Model Risk Management. 
  • Strong interpersonal and negotiation skills are essential for achieving goals in a complex, high-priority environment. 
  • Programming skills in R or Python are preferred but not required.

To be successful in this role, we’re seeking the following:

  • Strong quantitative skills: Master’s degree in a quantitative discipline, including Economics/ Econometrics/Quantitative Finance/Statistics, etc. is preferred.
  • 2+ years of work experience in research/forecasting/business analytics for a leading financial institution/central bank, consulting firm or similar, with a strong background/interest in economics 
  • Extremely focused, detail oriented and highly productive with ability to synthesize large amounts of data and various viewpoints and summarize key concepts 
  • Excellent organizational and communication (verbal and written) skills 
  • A proven track record of executing deliverables and meeting deadlines under pressure 
  • Works well individually and in teams, shares information, supports colleagues, and encourages participation. 

 

Source details

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Location & working pattern

Pittsburgh, PA, United States

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