Pricing and Profitability Consultant

6 - 11 years

18 - 33 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Mandatory Skills Profitability, SAS/ Python, SQL, Risk
Location – PAN INDIA-Remote

Note : SAS is mandatory. One must have hands on exp with it.

Pricing and Profitability Consultant – Personal and Private Banking

Job Summary

Pricing and Profitability Consultant

Key Responsibilities

  • Develop

    account-level profitability models

    by defining

    revenue and cost drivers

    tailored to product types and segments.
  • Conduct deep dives into

    profitability by product, risk, price, and customer cohort

    , identifying high-ROE and low-retention segments.
  • Define

    risk appetite thresholds

    , simulate

    risk-return trade-offs

    , and design

    concentration risk limits

    aligned with portfolio strategy.
  • Create and monitor

    price-point strategies

    to unlock margin value and customer lifetime profitability.
  • Translate customer behavior and CLTV insights into

    segment-specific lending strategies

    .
  • Run

    lending strategy simulations

    under macro, portfolio, and customer behavior scenarios to guide tactical decisions.
  • Work with product and finance stakeholders to shape

    Go/No-Go decisions

    and long-term

    capital planning

    .
  • Support the build-out of

    performance dashboards

    and visualize pricing, profitability, and strategy metrics using

    Power BI

    or similar tools.

Required Skills & Experience

  • 6+ years in

    retail banking

    ,

    risk analytics

    , and

    profitability modeling

    .
  • Strong understanding of

    RoE

    ,

    customer lifetime value

    , and

    portfolio risk-return frameworks

    .
  • Hands-on expertise in

    segmentation, pricing analytics, and capital allocation

    .
  • Proficiency in SAS/Python, Excel and PowerPoint for insight generation.
  • Experience working with

    cross-functional teams

    across product, risk, finance, marketing, and data engineering.
  • Familiarity with

    lending simulation models

    ,

    stress testing

    , or

    capital demand forecasting

    .

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