Details:
Role Brief:
We are seeking a strong candidate with at-least 1 - 7 years of analytics experience in Financial Services or Banking domain to fill a new and exciting Consultant position. We are looking for candidates who have an experience in building and delivering analytics solutions using SAS & SQL.
About Fractal:
Founded in 2000, Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process. Fractal has more than 1,200 employees spread across 14 global locations including the United States, UK and India.
Fractal has been featured as a leader in the Customer Analytics Service Providers Wave™ 2017 by Forrester Research, a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Key competencies:
- Problem solvingskills – Strong problem-solving skills to translate business requirements of clients into analytics problem and design analytics solutions with measurable and actionable outcomes
- Technical and domain expertise- Expertise in SAS, SQL & Advanced Analytics / Statistical Techniques such as Generalized Linear Models, Logistic Regression, ANOVA, Decision Trees, Bayesian, Forecasting etc. and experience in Financial Services and Banking
- Execution excellence - Ensure regular client touchpoints, work along-side multiple business stakeholders, end-to-end project execution, maintain proper documentation, ensure risk mitigation, ability to understand multiple and large data sources and ensure tracking of execution & success metrics is done effectively & efficiently
Min. Qualification:
Must Have:
- Proficiency in SAS, SQL & Advanced Analytics / Statistical Techniques such as Generalized Linear Models, Logistic Regression, ANOVA, Decision Trees, Forecasting etc.
- At least 1- 7 years of relevant experience in the field of Analytics with experience in Financial Services and Banking
- Experience of working with large and multiple datasets / data warehouses
- Excellent written and verbal communication
- Strong problem-solving skills
- Attention to detail and ability to deliver accurate client outputs
Good to Have:
- Experience in Python or R programming language
- Understanding or experience of implementing solutions based on - Segmentation models, Product Optimisation, Marketing Analytics, Consumer Lending, Mortgage Analytics, Payments, Card Industry, Campaign Analytics, Pricing Analytics, Portfolio Analytics, Profitability Models
Skills Required:
SAS, SQL, Advanced Analytics, Statistical Techniques
Roles:
- Interface with clients to understand business requirements and translate them into analytical problems that can be addressed using analytical techniques
- Excellent in problem-solving skills and able to work on open ended problems
- Co-ordinate with multiple Business teams, conceptualize and develop analytics solutions, communicate with senior management, gain approvals and deliver clean implementation on time
- Deliver with limited direction, usually within a complex environment, to drive rigorous, fact-based solutions and insights for clients
- Ability to develop models & recommend insights, perform hypothesis testing, Campaign measurement, Segmentation models
- Articulate and document project requirements and client meetings
- Communicate project results in the client’s business context
- Seek client feedback after each delivery and learn and apply insights on subsequent projects
- Support business development teams in preparing client pitches
