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National Manager - Service Analytics

Bengaluru, KA
Job Code:
  • Banking & Finance
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Job Details

Job PurposeThis candidate will be responsible for coordinating various pricing and propensity analytics initiatives across all portfolios and product segments. He / She should have a- Strong analytical orientation (along with data manipulation experience)- Act as an expert in the area of pricing and product propensity analytics.- Ability to set up Design Of Experiment (DoE)- Understand internal cost structures, price elasticity and response propensities to determine product need at a particular price point.- Concepts of Customer Lifetime Value (CLTV) and Loyalty. Understand and design CLTV and Loyalty based pricingKey Responsibilities- Lead and build the Product Propensity to buy and Pricing solutions across products, channels and other dimensions- Interact with various business, risk and marketing units to understand objectives and optimally design/develop product propensity and pricing interventions and recommendations. Build response propensity models to assist the business and the cross sell teams maximize responses. - Methodology to compute Customer Lifetime Value (CLTV) to enable CLTV based pricing and Next Best Product Sequencing- Methodologies to compute price elasticity at segment/customer level and optimization framework to understand tradeoff between volume and price- Develop, review and evaluate pricing solutions based on customers price elasticity, competitive assessment/trend, channels, customer segmentation, life time value etc.- Assess impact of various recommendations and implementations. Continuously track them to determine effectiveness on product uptake and life time value- Set-up of continuous Design-of-Experiments to determine & study sensitivity due to price changes, channel offerings etc.- Establish relationship and collaborate with internal clients and external vendors to deliver on the pricing and product propensity analytics requirementsKey Collaboration Points- A qualified candidate needs to be able to work with cross functional teams- Ability to work effectively across portfolio teams and functional areas teams - Strong influencing, negotiating, and facilitation skills.- Ability to manage multiple priorities and task without compromising quality.- Ability to deliver timely results in a fast paced environment.- The candidate will be driven by targets on response rates, X-Sell product/offer uptakes and eventual movement in the lifetime value Basic qualificationsRequired Qualification & Experience- The candidate should be a MBA in Finance/Post Graduate in Quantitative Economics with appreciation for statistics. Should have a numerate bent of mind- Must possess good analytical skills, communication and interpersonal skills.- The candidates should be able to understand and assess market trends w.r.t BFL requirements and should be pro-active- Should have 8+ years of prior experience in relevant roles, preferably in financial services or E-commerce domain- Candidate should possess knowledge in data modeling and scorecards. Skills on SAS/SPSS/R etc and other statistical tools would be preferred
Degree: MBA/ PGDM

Additional Degree: BA (Arts) | B.Com. (Commerce) | B.Pharm. (Pharmacy) | B.Plan. (Planning) | B.Sc. (Science) | BBA/ BBM/ BBS | BCA (Computer Application) | Diploma-Other Diploma | B.Ed. (Education) | BHM (Hotel Management)

Experience: 8-13


Accounting/Financial Products | Direct/Commission Sales | Retail Sales
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