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@bank-abc.com
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Anand Kumar is listed as Credit Risk - Data Scientist | Risk Modelling | Score Card | Machine Learning & AI l Basel, IRB & IFRS9 | Macro Model | Python, SAS, SQL & R | Model Development, Validation & Monitoring | Data Analytics | at Bank ABC, a company with 3573 employees, based in Manama, Capital Governorate, Bahrain. AeroLeads shows a work email signal at bank-abc.com and a matched LinkedIn profile for Anand Kumar.
Anand Kumar previously worked as Manager - Risk Analytics at Bank Abc and Data Scientist - Digital Transformation at Avana Capital.
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AeroLeads found 1 current-domain work email signal for Anand Kumar. Compare company email patterns before reaching out.
• With over 13 years of experience in credit risk analytics & Modeling, I specialize in regulatory compliance frameworks such as Basel and IFRS 9, backed by expertise in advanced analytics & machine learning techniques using Python, SAS, SQL & R.• Double Master degrees, Chartered Financial Analyst (CFA), Master in Financial Analysis, MBA, Bachelor in Economics with Math and Statistics, Certification in SAS statistical business analyst in statistical Modeling (Secured 100%) & Base SAS Programmer, PGP in Big data analytics and optimization from Carnegie Mellon University, Diploma in portfolio Management and Certification in Machine learning from Indian Institute of Technology (IIT), Hyderabad.• I have honed my skills in statistical modeling and credit risk analytics, specializing in regulatory compliance frameworks like Basel, IRB and IFRS 9. My leadership journey in this field has been defined by my ability to leverage advanced analytics, machine learning, and deep learning techniques using tools such as Python, SAS, SQL, and R. This technical proficiency allows me to adopt a data-driven approach to tackle complex business challenges and enhance decision-making processes.•I have successfully led and executed risk analytics initiatives that not only ensure compliance but also address key business problems through robust statistical modeling. My experience in developing predictive credit risk models has significantly improved risk evaluation processes, enabling organizations to assess better and manage potential risks. By focusing on both compliance and business outcomes, I have been able to create models that align with regulatory requirements while providing meaningful insights for strategic decision-making.•My application of machine learning and AI has been instrumental in enhancing data-driven decision-making across the organization. By implementing sophisticated algorithms, I have tackled complex operational issues and improved the efficiency of risk management practices. This innovative approach has allowed my teams to stay ahead of the curve in an ever-evolving regulatory landscape, positioning us as leaders in risk analytics.
Listed skills include Mathematics, Domain Experience, Neural Networks, Strict Deadlines, and 137 others.
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Bahrain
In this role, I leverage advanced analytics and machine learning to drive business solutions, enhancing department decision-making and efficiency. I create application scorecards for score-based risk assessment, boosting credit decisions and strengthening our risk management framework. My work in behavioral segmentation provides a clearer view of credit.
Bahrain
Under this assignment, I designed and implemented a machine learning-based pre-approved loan model, streamlining digital lending and expanding customer access to credit. I developed an application scorecard for SMEs, enabling score-based risk assessments to improve lending decisions and reduce financial risks. Using tools like SAS, Python, R, and SQL, I.
Bengaluru, Karnataka, India
In this role, I implemented innovative solutions using statistical machine learning to solve business problems, boosting predictive accuracy and decision-making. I managed the end-to-end development cycle, ensuring project success through data mining and analysis. Leading a team of six data scientists, I spearheaded the creation of a digital platform for.
Bengaluru, Karnataka, India
Under this assignment, I developed an advanced Auto GLM pricing model to identify essential features for calculating pure premium, leveraging machine learning to enhance pricing accuracy. Additionally, I built and deployed an NLP-based sentiment analysis model to classify and interpret HR feedback data, providing valuable insights into employee sentiment.
Mumbai, Maharashtra, India
In this assignment, I developed and implemented Credit Risk Models, including PD, LGD, and EAD, ensuring thorough validation and calibration according to Basel guidelines. I designed a Lifetime PD model using the Cox Proportional Hazards Model under IFRS 9, performing stage analysis and creating PIT models with macroeconomic variables. Additionally, I.
Mumbai, Maharashtra, India
In this role. I developed a Machine Learning model for Debt Obligation Payment (DOP) to identify customers who could pay premiums. Additionally, I created behavioral and application scorecard models, calculating Weight of Evidence (WoE) and Information Value (IV) while applying reject inference analysis. I also contributed to fraud detection by.
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Quick answers generated from the profile data available on this page.
Anand Kumar works for Bank ABC.
Anand Kumar is listed as Credit Risk - Data Scientist | Risk Modelling | Score Card | Machine Learning & AI l Basel, IRB & IFRS9 | Macro Model | Python, SAS, SQL & R | Model Development, Validation & Monitoring | Data Analytics | at Bank ABC.
AeroLeads has found 1 work email signal at @bank-abc.com for Anand Kumar at Bank ABC.
Anand Kumar is based in Manama, Capital Governorate, Bahrain while working with Bank ABC.
Anand Kumar has worked for Bank Abc, Avana Capital, Standard Chartered Bank, Aig, and Aptivaa Consulting.
Anand Kumar's colleagues at Bank ABC include Anil Yadav, Racha Hanine Kattouche, Cedric Marti, Adil Sofiane Benfeghoul, and Walid Chirani.
You can use AeroLeads to view verified contact signals for Anand Kumar at Bank ABC, including work email, phone, and LinkedIn data when available.
Anand Kumar is listed with skills including Mathematics, Domain Experience, Neural Networks, Strict Deadlines, Model Building, Credit Cards, Rwa, and Insurance.
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