Risk Analytics

1 week ago

Delhi, Delhi, India NeerInfo Solutions Full time
Neerinfo Solutions is a Leading executive search firm providing services to leading IT services, Manufacturing, Captives, and BFS companies.

One of our clients a Top Tier 1 IT Services Company is looking to hire for a Risk Analytics role

Role:
Risk Analytics

Location- Mumbai, Bengaluru, Gurgaon
Experience - 3 or 3+yrs
Level - CL7 Manager, CL 8 Associate Manager, CL9 Specialist
CL7 Manager only open for Mumbai, Bengaluru, Gurgaon, rest only Mumbai

Position type:
Permanent

Mandate -Functional:: Credit risk, PD, LGD, EAD, Basel, AIRB Models, CCAR/DFAST, IFRS9/CECL, Loss Forecasting, Stress Testing, Credit Acquisition models, Behavior models, Collections models , Recovery models , Regulatory Capital and Economic Capital Models, Programming Skills : SAS, Python, SQL, Dashboard Skills (Add-ons): Tableau, Qlik View, Power BI, SAS VA

Job Description -WHAT'S IN IT FOR YOU?

CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance.

Within risk realm, our focus revolves around the model development, model validation, and auditing of models.
Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models.
Get to work with top financial clients globally
Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies.
Company will continually invest in your learning and growth and will support you in expanding your knowledge.

You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation.

What you would do in this role
Engagement Execution

Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Company's clients.

Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members.
Demonstrated ability of managing day to day interactions with the Client stakeholders
Practice Enablement
Guide junior team members.
Support development of the Practice by driving innovations, initiatives.
Develop thought capital and disseminate information around current and emerging trends in Risk.

Who we are looking for?
relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas:

Development, validation, and audit of:
Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios
Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios
Regulatory Capital and Economic Capital Models
Liquidity Risk – Liquidity models, stress testing models, Basel Liquidity reporting standards
Anti Money Laundering – AML scenarios/alerts, Network Analysis
Operational risk – AMA modeling, operational risk reporting
Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations
Experience in conceptualizing and creating risk reporting and dashboarding solutions.

Experience in modeling with statistical techniques such as – linear regression, logistic regression, GLM, GBM, XGBoost, Cat Boost, Neural Networks, Time series – ARMA/ARIMA, ML interpretability and bias algorithms etc.

Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, Qlik View, Power BI, SAS VA etc.

Strong understanding of Risk function and ability to apply them in client discussions and project implementation.

Academic Requirements:


Master's degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities.

Strong academic credentials and publications, if applicable.
Industry certifications such as FRM, PRM, CFA preferred.
Excellent communication and interpersonal skills.

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