Hi,


I have a position for the below requirement, please do reply me to
*moh...@datagrp.com
<moh...@datagrp.com>* or please do reach me on *201 – 308 – 8704*



*IMMEDIATE NEED*

*Position: Quantitative Analyst*

*Location: Wilton, CT*

*Duration: 8+ Months*


*J.D:*

A leading Insurance client is looking to build a  model risk management
team onsite in Connecticut.

*Role Summary:*

This opportunity is for a *Model Validation Quant role* within the Model
Risk Management Group. The primary function is to perform detailed
validation of Risk models, Exposure models and Pricing models from across
the firm. Responsible for contributing to the validation of models and
performance of a high quality risk analytics as identified within the model
risk management framework for the Corporation .  Resolves complex issues in
model validation and measuring risk, allocation of capital for performance
measurement, or other aspects of risk measurement.

*Job Description:*

·                       team on specific projects/requirements
pertainingWork with the account/Bank to model risk analytics

·                       client’s model risk management group building
productiveWorking closely with relationships

·                       relationship identified from time to time in
theAny other working organization



·                       independent validation of business unit models
(pricing,Responsible for the portfolio management, portfolio optimization)
and enterprise-wide models that impact credit risk, market risk and capital
allocation framework. Resolve complex issues in modeling and measuring the
risk impact of model limitations and uncertainty.

·         Responsible for the independent validation of quantitative models
across the organization; resolving complex issues in capital estimation,
regulatory reporting or external financial statements and other aspects of
model risk measurement

·         Responsible for model validation, participation in quantitative
analytical processes for risk and regular production of analytical work and
reports.   Serves as a point of contact for model risk analytics and
internal risk teams

·         Evaluates existing model risk framework in relation to department
objectives and industry leading practices. Assesses validation requirements
and actively provides solutions to enhance the model validation framework

·         Understanding of Derivatives pricing and risk measurement models
and techniques

·         Supports internal capital allocation methodologies by ensuring
that capital modeling and allocation approaches meet both internal
corporate needs and regulatory requirements related to prevailing
regulatory guidance

·         Provides technical/theoretical expertise to resolve model risk
issues and enhance overall model risk framework. Works with other Risk
teams to ensure that model risk management policies/processes and
quantitative modeling approaches are consistent

·         Provides communication and supports training efforts to promote
understanding of model risk measurement throughout the company

·         Operates independently; has in-depth knowledge of business unit /
function and complex modeling techniques

·         Conducts validations independently, ensuring accuracy and
completeness

·         Responsible for direct interaction with various model owners and
users

*Experience on: *

·         Blackrock / MSCI Barra platform

·         *State Street models*

*Qualification:*

PhD / M. Sc (Financial Engineering / Statistics / Mathematics) / MBA in
finance from top B-schools .

CFA/FRM/CQF candidates preferred

*Experience*

·         3-5 Years of work experience in BFSI Domain working on Model Risk
Management related areas in Asset Management

·         Excellent oral and written communication skills are required. The
candidate is expected to justify all his validation findings to the Higher
Management very clearly.

·         Should have strong knowledge in Statistics acquired academically
or through Work experience

·         Strong conceptual and technical knowledge of risk concepts and
quantitative modeling techniques. Understanding of stochastic calculus,
derivatives pricing theory & numerical methods.

·         Functional / Industry Knowledge is required.  Analytical and
problem solving skills are required.

·         Strong Excel skills are required.

·         Technical skills / systems knowledge (e.g. SAS, Matlab, R) is
desirable.

·         *Experience in CCAR models validation desirable. *

·         *Financial Regulation knowledge (Dodd Frank, BASEL III) will be
desirable*

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