2 Opening(s)
4.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Please find the details below
Position : Transaction Monitoring
Location : Bangalore/ hyderabad/ kolkata/ chennai/ mumbai/ new delhi
Experience requirement : 4+
Joining Date : Immediate to 30 days
Job Description
We are looking for candidates with experience in Transaction Monitoring(Techno – Functional)
Experience – 4/5+ years
Skillset – Transaction Monitoring Tools – SAS AML, Oracle FCCM, Nice Actimize (preferable); Database – ...
1 Opening(s)
1.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
What You Will Do
Work closely with constituents across the business {Sales, Marketing, Product, Customer Experience, Research and Finance}
Develop insights and strategy to drive revenue growth from customer base
Assist in annual budget planning and alignment
Use data mining techniques and analyse core KPI's and generate insight to reach and improve on the ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
5.00 LPA TO 10.00 LPA
Job Descriptions:
Digital Product Analyst
Key Responsibilities
· Evaluate base Search appliance configurations and assess their implications on search results
· Design and apply new configurations
· Identify opportunities to improve search results based on Alight clients’ needs
· Identify and deploy best practices on an ongoing basis
· Consult and provide strategy directions on topics such ...
5 Opening(s)
5.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 25.00 LPA
Job Title: Credit Risk Analyst
Role Overview: The Credit Risk Analyst is responsible for assessing, monitoring, and managing credit risk across individual clients, products, and the overall loan portfolio. The role involves using data analytics, financial modeling, and risk management techniques to ensure prudent lending decisions, minimize losses, and maintain compliance ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
15.00 LPA TO 30.00 LPA
Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...
7 Opening(s)
5.0 Year(s) To 8.0 Year(s)
10.00 LPA TO 18.00 LPA
. Data Scientist – KMPL Support Services – Analytics
Location: Mumbai
Grade: M1 to M4
Reports to: Lead/Principal Data Scientist
Role Overview: Responsible for building analytical models for the banking, NBFC, and insurance sectors. Utilize machine learning algorithms or statistical models to optimize business processes across the customer lifecycle.
Key Responsibilities:
Develop and deploy machine learning ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 34.00 LPA
Data Scientist – Banking and Risk Management
Role Summary:
The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions.
Key Responsibilities:
Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking.
Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
JD 1 : Quant Analyst – Market RiskRole Summary:The Market Risk Quant Analysts will focus on market risk model development, validation, andcompliance, ensuring that banks meet regulatory and risk management standards.Key Responsibilities: Validate market risk models, including Value-at-Risk (VaR), Expected Shortfall, and StressTesting frameworks. Develop and enhance models for FRTB ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Quant Analyst – Credit RiskRole Summary:The Credit Risk Quant Analysts will work on developing, validating, and enhancing models for creditrisk assessment in banking and financial services.Key Responsibilities: Validate credit risk models, including Probability of Default (PD), Loss Given Default (LGD),and Exposure at Default (EAD). Develop and implement credit risk scoring ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...