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FedNow Data Scientist
  • Python
  • Spark
  • SQL
  • Machine Learning
  • Tableau
  • Excel
  • Matlab
  • Database
  • Data Visualization
  • Modeling
  • Pandas
  • NoSQL
  • Bayesian
  • Business Analysis
  • scikit-learn
  • PyTorch
Federal Reserve Bank of Boston
Boston, MA 02210
113 days ago
FedNow Data Scientist-264637Federal Reserve Bank of BostonPrimary Location MA-BostonFull-time / Part-time Full-timeEmployee Status RegularJob Type ExperiencedTravel Yes, 15 % of the TimeShift Day JobJob Sensitivity Tier II CC@Hire/No CC@Rescreen

The Federal Reserve is developing a new interbank 24x7x365 real-time gross settlement (RTGS) service with integrated clearing functionality, called the FedNow service. This service will help enable financial institutions provide their customers with the ability to send and receive payments any time, any day, and have full access to those funds within seconds. This position is a unique opportunity to be part of a new mission-critical Federal Reserve initiative that will be transformative to the payments landscape in the United States.
Position Contributions-
This position requires a solution-oriented candidate with a combination of deep business acumen, expert knowledge of statistics and algorithm development, and an analytical mindset. The candidate must have the ability to work with diverse stakeholder groups to solve business problems and provide data solutions that are organized and simple to understand. Become part of this unique opportunity to make history defining the evolution of cloud computing.
What will be expected of you-
  • Understands and improves how data is sourced from different sources and ingested with the data integration solution
  • Ensures that enterprise architects are addressing all data requirements in their respective projects and solutions
  • Perform data manipulation, business analysis, and quantitative modeling to research and design automated solutions
  • Closely collaborate with agile delivery , business integration teams & product owners to build data sets based on feature delivery
  • Design test cases for systems used for a variety of analytical, transaction processing to ensure the business needs are met and analytics are correctly implemented.
  • Analyze application logs, build logs, automation execution logs and defects data to build patterns and predictions using appropriate ML models
  • Provide data analytical expertise and guidance to key stakeholders.
  • Identify trends and explain anomalies using data science at scale
  • Develop data structures and pipelines as necessary to support analytical efforts
  • Work closely with business integration, performance engineering and product team to build forecast models
  • Participate in development/system/database operations as needed (DevOps, sysops, and DBA work)
  • Document parts of the current and future processing framework.
  • Build real-time dashboards with help of data visualization tools AWS Quicksight, Tableau or Kibana.
  • Use one or more analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction that has multiple variables affecting potential outcomes.
  • Perform ad hoc analysis as needed and assist managers of specific functions with analytical, valuation, or pricing projects. Collaborate with teams planning or structuring transactions to assist in credit analysis and pricing.
  • Perform other duties as assigned

Expertise you will bring-
  • Bachelor’s degree or higher in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Computer Science, Operations Research, Engineering, Finance, or Economics.
  • 5+ years of experience in Financial Services, specifically within cash management, payments, small business, Commercial, or Consumer lending.
  • 5+ years of experience solving business problems leveraging data and analytics.
  • 5+ years of experience using SQL, R, Python, MatLab, or similar data-mining and analytics applications.
  • Skilled in Python, experience with Pandas, Scikit-learn.
  • Experience in machine learning techniques, such as Linear and Logistic Regression, Bayesian models, Decision Trees, Random Forests, Neural Networks, Clustering, Time Series Analysis, Forecasting, Survival / Duration Analysis, or similar.
  • Experience with agile development practices and Git version control.
  • Experience with one or more of the DNN frameworks like TensorFlow, PyTorch, etc.,
  • Experience with Spark, SQL, Graph stores, or NoSQL stores.
  • Domain expertise in financial services, banking, real-time gross settlement and payment related systems
  • Capable of completing descriptive, diagnostic, exploratory, predictive, and prescriptive analytical exercises.
  • Proven ability to give meaning, insight, and purpose to information to drive business decisions.
  • Capable of managing change through typical strategy development lifecycle stages such as Ideation, Solutioning, Execution, and Go-To Market.
  • Proficient in Excel, Word, and PowerPoint.
  • Excellent communication and presentation skills, problem-solving, time-management, collaboration, and interpersonal skills.
  • Proven ability to simply explain complex information to both technical and non-technical audiences.
  • Ability to work autonomously as well as in a team setting.
  • Aptitude and willingness to roll-up the sleeves and get involved in the details.
  • Highly curious with the desire to go deep beneath the surface to solve problems.
  • Must have good business judgment with demonstrated ability to think creatively and strategically.
  • Data science certification or AWS machine learning certification is a plus

Logistics & Requirements-
  • Ability to work in an office environment and to travel to all District offices as needed.
  • Ability to perform office duties such as using a computer keyboard.
  • Work involves sitting most of the time but may involve going to other offices and meeting rooms.
  • Ability to work in demanding situations and handle multiple priorities
  • Minor lifting and carrying (less than 5 pounds).

The Federal Reserve System is committed to a diverse and inclusive workplace and to provide equal employment opportunities to all persons without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, genetic information, disability, or military service.

All employees assigned to this position will be subject to FBI fingerprint/ criminal background and Patriot Act/ Office of Foreign Assets Control (OFAC) watch list checks at least once every five years.

The above statements are intended to describe the general nature and level of work required of this position. They are not intended to be an exhaustive list of all duties, responsibilities or skills associated with this position or the personnel so classified. While this job description is intended to be an accurate reflection of this position, management reserves the right to revise this or any job description at its discretion at any time.

For this job, any offer of employment is contingent upon successfully passing a two-phase security screening. The first phase consists of the satisfactory completion of a physical examination (including a drug screening), reference checks, and a security investigation consisting of credit and criminal history checks.

The second phase, which might not be complete until after you begin working at the Reserve Bank, is an additional risk-based security screening determined by the risk rating of the position. Depending upon the sensitivity of the position, this phase may include, and is not limited to, work and residency eligibility verification, and personal interviews with the candidate, references, and prior employers.

All applicants must have resided in the United States for at least three (3) years

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