Net2Source Inc. is a global workforce solutions company headquartered in New Brunswick, NJ. With offices in the United States and operations worldwide, we offer consulting solutions including application development, workforce management, and project consulting.
Role
Senior Data Scientist : Risk vs Rewards Specialist – Analytics
Primary Objective
- To actively lead, participate and contribute in identification of business use‑cases for innovative ideation, design, build, test, and execution to uplift business revenue or cost‑optimization efforts.
- To develop and deliver business use‑cases for innovative ideation, design, build, test, and execution for Group Business Banking units to uplift business revenue.
- To influence business teams on required data‑driven solutions and recommended approaches.
- To identify new opportunities for the Business Groups in relation to Risk versus Reward equations.
- To deliver on agreed business revenue or cost‑value goal outcomes.
- To conduct regular review sessions with respective business units to ensure alignment on data solutions, deliverables and standards against business challenges.
- To work closely with business owners and Group Risk to address business problems using data analytics to provide insights for business decision‑making.
- To provide consolidated overview and revenue tracking for management reporting on analytics use cases.
- To be embedded into the business squad team in Agile methodology for better business knowledge improvement and provide value to business.
- To pilot risk test programs with business groups and Group Risk.
- To pilot advanced analytics methods, tools, and platforms.
- To identify, design, develop & execute required analytical algorithms, techniques, and statistical methods to address and solve business problems through data solutions.
- To understand the methodological implications of advanced analytics solutions and assist in defining solutions to support future business requirements.
- To ensure timely delivery of analysis and proactively manage delays / issues with timely escalations.
- To manage and ensure high quality and accuracy in deliverables.
- To present business opportunities, reviewed & expected results and recommendations to senior stakeholders.
Requirements
Bachelor’s degree or above in Economics, Finance, Mathematics, Statistics or equivalent.Experience engaging business teams on business values and understanding of core P&L impact management.Minimum 6 years of analytical and statistical modelling experience, with at least 3–5 years in risk analytics (banking experience is a plus).Proficient in SAS programming (minimum 5 years) and Python programming.Ability to generate analytical insights for business problems.Present and communicate analytical solutions with clarity.Experience working in an Agile environment.Deep expertise in data mining, analytical techniques & solutions.Hands‑on experience handling & managing large volumes of data via appropriate tools & techniques.Excellent understanding of relevant big‑data tools such as SAS, Tableau. Data modelling experience (e.g., demand forecasting, segmentation, propensity).Seniority level : Mid‑Senior level. Employment type : Full‑time. Job function : Other.
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