Senior Manager (Credit risk) @ Evalueserve

Job Description

What you will be doing at Evalueserve

We are seeking a highly skilled Credit Risk leader to support key clients in driving their Risk Transformation journey. The successful candidate will play a pivotal role in supporting clients in Financial Services, helping them navigate complex business environments with technology driven solutions

• Managing and leading large-scale model validation projects for global financial institutions, specializing in Basel, IFRS9/CECL, Stress Testing/CCAR, and scorecards models (Acquisition, Behaviour, and Collections), ensuring compliance and delivering

• Ensuring compliance with regulatory requirements such as Basel models, IFRS9/CEC. Provided end-to-end support, including data management, model testing, benchmarking, and model documentation

• Leverage and build advisory relationships with senior and C-level client executives that anchor long-term sustainable engagements with Evalueserve that are focused on strategic and priority areas

• Partner with sales team to identify potential opportunities and support new business growth. Attend client meetings along with other Sales/Ops team members (as necessary), both as coaching opportunities and to expand Evalueserve reach by elevating relationships

• Oversee and lead client engagement - reach out to new clients, take lead in pitching new solutions to showcase value added analysis/new solutions to clients

• Collaborate with different internal stakeholders to develop and execute the business strategy in alignment with the company's overall mission and LoB goals

What are we looking for

• Graduate/ Post Graduate in any of the following disciplines: finance, mathematics, physics, or engineering from a reputed university
• 12+ years of experience either in Quantitative areas of either Consulting, Big 4s or Banks Excellent communication skills to manage multiple stakeholders in various geographies.
• Extensive knowledge of credit risk models for the wholesale portfolio, model structure,
  variable. Knowledge of statistical methods and tools such as logistic regression, Bayesian
  statistics, the Markov chain process, and time series analysis Knowledge of credit risk
  models PD, EAD, and LGD, scorecards, IFRS 9, Basel II IRB approach for credit risk, logistic
  and linear regression models
• Extensive knowledge of SAS, Python (including OOP), statistical procedures, and automation
  capabilities in SAS and Python

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   credit risk model validation Credit Risk Modelling