Who we are?
At Hexaware Technologies, we are a leading global IT Services company, dedicated to driving digital transformation and innovation for businesses around the world. Founded in 1990, Hexaware has grown into a global trusted partner for enterprises, offering comprehensive AI empowered services including IT Consulting, Application Development, Infrastructure and Cloud Management and Business Process services.
At Hexaware we are a community of creative, diverse, and open-minded Hexawarians creating smiles through the power of great people and technology.
We pride ourselves on our people-centric culture and commitment to sustainability. Our diverse team of over 30,000 professionals across 30 countries is driven by a shared passion for innovation and excellence. We foster a collaborative environment where creativity and continuous learning are encouraged, enabling our employees to thrive and grow.
Just so you know...
You do not need to be perfect or have perfect qualifications to apply for this job nobody is!
We believe that you do not need to match every requirement for the job position to make a valuable contribution to our team. We want to hear from you if you have the passion and potential to drive our mission forward! At Hexaware, we are committed to building and fostering a team with diverse backgrounds, experiences and skills. We value diversity and inclusion and strive to create a workplace where everyone feels welcome and supported. If you require any reasonable adjustments during the application process, please let us know.
Job Title: The Finance - Data Science - Advisor
Location: Washington, DC (Hybrid/Onsite)
Mandatory Skills:
The Finance - Data Science - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
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
What you'll get from us:
Competitive Salary
Company Pension Scheme
Comprehensive Health Insurance
Flexible and hybrid working options dependent on Customer requirements.
24 days paid annual holidays + public holidays.
Professional Development and Training Opportunities
Employee Assistance Program (EAP)
Diversity, Equity, and Inclusion Initiatives
Company Events and Team-Building Activities
Equal Opportunities Employer:
Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.
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