Credit Risk Data Analyst Information Technology (IT) - Chantilly, VA at Geebo

Credit Risk Data Analyst

Piper Companies is seeking a Data Analyst (Credit Risk) to join a premier credit union located in Mclean, VA.
The Data Analyst will develop and conduct funnel conversion optimization, data analytics, financial assessments, business intelligence, and performance reporting.
This role is Hybrid (3 days on-site).
Responsibilities of the Data Analyst include:
Drive monitoring and analyses of credit risk for both organic and acquired portfolios, prepare related management reporting packages, and provide insights on root causes, emerging credit trends, and implications on Allowance for Loan Losses.
Perform business line program deep dive and monitoring on credit policy change to drive credit policy optimization and risk mitigation strategies, inform corporate strategic decisions, enable better member experience, and improve efficiencies.
Provide ongoing or ad-hoc risk analytics to support credit or new product expansion.
Collaborate with the modeling team to build/manage risk models using both internal and external data sources, conduct risk drivers' analysis, and build and implement valuations models.
Identify required data and work with data stewards to understand data sources, ensure data quality, and retrieve data on a timely basis.
Contribute to credit data mart and corporate database designs.
Qualifications for the Data Analyst include:
3
years of experience as a Data Scientist or Data Analyst in a Banking or Financial Services environment Solve business problems by applying advanced data and analytical methods.
Conduct end-to-end analysis that includes data processing, analysis, evaluation of customer insights and presentations Utilize analytical tools (SQL, R, Python) and data query tools to build, test, evaluate and maintain robust data analysis and reporting Experience in statistical modelling including linear and logistic regression, decision tree and GBM Master's degree in Math, Statistics, Economics, Computer Science, or another quantitative field is preferred Compensation for the Data Analyst include:
Salary Range:
$90,000-$120,000$40/hr - $50/hr depending on experience Full
Benefits:
PTO, Paid Holidays, Cigna Healthcare, Dental, Vision Keywords:
Data science, risk data science, data scientist, aws, amazon web services, credit cards, credit, sql, python, engineering, data, data science, product, R, tableu, banking, work from home, remote, finance, risk model, regression, modeling, risk drivers, valuation models, analytics, loan loss, credit policy, risk function, credit business, personal loans, student loans, credit cards, auto, gatekeeper organization, PenFed, consumer banking, risk modeling, R, Python, SQL, Tableau, MS degree, professional experience, NumPy, Pandas, data visualization, inquisitive, analytical, creative problem-solving, net interest income, risk tolerance, Auto, Personal Loan, Student Loan, debt to income, credit worthiness, feasibility, product strategy, consumer-oriented, market analyses, rates, product initiatives, competitor analysis, Unsecured Lending Analytics Analyst, McLean, Virginia, senior management, strategic plan, funnel conversion optimization, data analytics, financial assessment, business intelligence, performance reporting, portfolio performance, data mining, internal, external sources, credit union, thought leadership, strategic thinking, business insights, multi-dimensional data, analytical problem solving, end-to-end analysis, SQL, R, Python, data query tools, funnel conversion analysis, funded volume, stakeholders, Product Owner, Marketing, Operations, User Experience, Finance, Fraud, IT, business partners, behavioral/demographic attributes, credit union segments, incremental accounts, balance growth, competitive market analysis, business/product plans, technical proficiency, contract to hire basis, Risk Analysis, Financial Analysis, cashflow modeling, banking, financial services, Risk Management, Portfolio Management, Lending, Data Science, Financial Modeling, Business Intelligence.
Recommended Skills Accounts Payable Amazon Web Services Analytical Banking Services Business Intelligence Commercial Banking Estimated Salary: $20 to $28 per hour based on qualifications.

Don't Be a Victim of Fraud

  • Electronic Scams
  • Home-based jobs
  • Fake Rentals
  • Bad Buyers
  • Non-Existent Merchandise
  • Secondhand Items
  • More...

Don't Be Fooled

The fraudster will send a check to the victim who has accepted a job. The check can be for multiple reasons such as signing bonus, supplies, etc. The victim will be instructed to deposit the check and use the money for any of these reasons and then instructed to send the remaining funds to the fraudster. The check will bounce and the victim is left responsible.