Finance Data Science Advisor (Hybrid)

Hexaware Technologies, Inc; Washington; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive Salary

Company Pension Scheme

Comprehensive Health Insurance

Flexible hybrid working

Job summary

Hexaware Technologies, Inc. is hiring a Finance - Data Science - Advisor in Washington, DC. The role blends advanced analytics, risk modeling, and business advisory within the Finance organization.

You will drive CECL/forecasting analyses and coordinate with data engineers and product teams to deliver impactful insights. The ideal candidate has 6+ years in data science or quantitative finance, with strong communication and leadership skills.

Qualifications

• 6+ years of relevant experience in data science within finance.
• Masters in data science, economics, statistics or related field is preferred.
• Experience with CECL and DFAST forecasting is desirable.
• Ability to lead a technical team and manage stakeholders.

Responsibilities

• Use advanced tools to build analytics for CECL and forecasting within Finance.
• Evaluate model results and perform credit-related analyses for stress scenarios.
• Coordinate with product, data engineers, and platform teams on needs and data.
• Apply statistical modeling methods and data visualization for business partners.
• Develop predictive analytics to improve risk measurement and valuation.
• Communicate complex ideas clearly via documentation and visuals.
• Oversee design of modeling apps to support decision making.
• Lead cross-functional collaboration and project delivery.

Skills

Statistical analysis

Data visualization

Stakeholder management

Strong communication

Team leadership

Forecasting & stress testing

Machine learning awareness

NLP familiarity

Problem solving

Education

Bachelor’s degree

Master’s degree in Data Science / Applied Economics / Statistics

Tools

R programming

Tableau

Python

SQL

DBeaver

BitBucket

Job description

Hexaware Technologies, Inc. is hiring a Finance - Data Science - Advisor in Washington, DC. The role blends advanced analytics, risk modeling, and business advisory within the Finance organization.

You will drive CECL/forecasting analyses and coordinate with data engineers and product teams to deliver impactful insights. The ideal candidate has 6+ years in data science or quantitative finance, with strong communication and leadership skills.