Finance Data Science Advisor ( SME - Financial and IT Modeling & Analytics)

Secretaria de Serviços Prefeitura de São Paulo; Washington (District of Columbia); On-site; USD 130,000 - 180,000; Full time

Job summary

Unknown is seeking a senior data science professional to support the Multifamily CECL and DFAST forecasting within the Finance organization. The role emphasizes advanced analytics, econometric methods, and data visualization to drive risk measurement and decision-making.

The candidate will collaborate with data engineers and platform teams, build predictive capabilities, and communicate complex results to non-technical partners through visuals and documentation.

Qualifications

• 6 years of experience in data science, analytics or related finance roles.
• Experience with CECL/DFAST or stress testing knowledge is a plus.
• Strong ability to communicate complex analytics to non-technical partners.

Responsibilities

• Apply statistical modeling, econometrics, and data visualization to finance processes.
• Develop predictive analytics to support risk measurement and financial valuation.
• Coordinate with product and data engineers to align business needs with data capabilities.
• Create and maintain documentation and presentations for stakeholders.
• Oversee development of modeling applications and ensure reliability.
• Present data insights and results to business partners clearly.
• Mentor junior analysts and manage project timelines.

Skills

R programming

Tableau

Python

SQL

DBeaver SQL client software

BitBucket

Education

Bachelor degree or equivalent

Master degree or equivalent in Data Science, Applied Economics, Statistics, or related field

Tools

R programming

Tableau

Python

SQL

DBeaver SQL client software

BitBucket

Job description

3-5 days per week onsite - Washington, DC

NO C2C or 3rd Party

Top 5 Technical Skills

• R programming
• Tableau
• Python
• SQL
• DBeaver SQL client software
• BitBucket

Job Description

• Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses that will be used to support the Multifamily CECL and DFAST/forecasting processes within the Finance organization.
• Research and evaluate model results and perform credit-related analyses for both expected and stress scenarios including CECL/DFAST.
• Coordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses to drive success of parts of projects, programs, or products.
• Ensure application of statistical modeling capabilities from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
• Build predictive analytic capabilities within the team to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
• Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
• Oversee the design and build of new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
• Ensure the team communicates complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.

Minimum Required Experiences

• 6 years

Desired Experiences

• Bachelor degree or equivalent
• A Masters degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies
• Familiarity with advanced techniques including machine learning and natural language processing (NLP)
• Prior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.
• Ability to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis
• Ability to build and maintain strong business relationships with partners
• Strong written and verbal communication skills
• Relationship management including managing and engaging stakeholders, partners, customers, and building relationship networks
• Strong analytical and problem-solving skills to conduct and manage analysis to address complex business problems
• Programming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar
• Experience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data
• Expertise in visualizing data to identify, summarize and explain observed data patterns

Tools

• R programming
• Tableau
• Python
• SQL
• DBeaver SQL client software
• BitBucket