Fractal Analytics - Analytics Consultant - Mumbai
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Fractal Analytics

Analytics Consultant

Fractal Analytics

1 - 6 Years   |   Confidential   |   Mumbai
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Job Description
About the Company:
Fractals products include Qure.ai to assist radiologists make better diagnostic decisions, Cuddle.ai to assists CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions and Eugenie.ai to find anomalies in high velocity data.

Website: https://fractal.ai

Profile: Analytics Consultant

Job location: Mumbai

Course Specialization: Masters Degree (Statistics, Applied Mathematics, related)

Desired Experience: 1 - 6 years

Role Brief:
- 1-6 years of Analytics using SAS and the primary focus of the role is to deliver Algorithmic Credit Decisioning models.
- The individual will be responsible for end to end model development, deployment, recalibration and redevelopment

Technical and domain expertise:
- Expertise in SAS plus R/SQL advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc

Key Responsibilities:
- Work closely with the Group/Region/Country stakeholder to understand the business requirements and priorities and deliver the agreed analytics priorities
- Development of Algorithmic Credit Decisioning model
- Work independently to deliver project assignments.
- Ensure appropriate operational procedures are in place in compliance with the Bank s strategy, branding policies and standards
- Ensure adherence of Group/Country Governance

The Person Must Have:
- At least 1+ years desired relevant work experience in Banking / Financial Services Industry working on SAS and Model development
- In depth business understanding for client, segment, product , channels and business life-cycles
- Expert in building Credit Risk/Marketing model
- Conceptual and technical knowledge of risk concepts and quantitative modeling techniques.
- Proficiency in SAS, SAS macro is must, SAS Enterprise Miner knowledge is preferred
- Hands on tools and techniques experience in data mining, Big data, BI Analytics
- Strong communication skills both written and verbal
- Self-driven and result focused

Education:
- Advanced Degree (Masters required) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, or other highly technical quantitative discipline

Education:

B. Pharm, B.A., B.A.(Hons.), B.Com., B.Com.(Hons.), B.Des, B.E-Com., B.F.Tech, B.Sc., B.Sc.(Hons.), B.Sc.(Hotel Management), B.Tech/B.E., BAF, BBA, BBI, BBM, BBS, BCA, BCM, BDS, BFIA, BFM, BHM 3 Yr., BHM 4 Yr., BIM, BIT, BJMC, BMM, BMS, Chartered Accountant, Diploma 1 Yr., Diploma 2 Yr., Diploma 3 Yr., LL.B, M. Pharm, M.A., M.A.(Hons.), M.Com.(Hons.), M.Des, M.Phil., M.Sc., M.Sc. (Tech.), M.Sc.(Hons.), M.Tech./M.E., MBA, MBBS, MBE, MCA, MCM, MFM, MMS, MSW, Nursing, P.G. Diploma 1 Yr., P.G. Diploma 2 Yr., P.G.D.B.A, P.G.D.B.M., P.G.D.C.A, Ph.D.

Work Experience:

1 - 6 Years

Salary

Confidential

Industry

IT

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