Design, Create, Maintain and improve systems and processes that will enable the compliance team to safeguard the business from the risk of non-compliance with the relevant guidelines with emphasis on Analytical solutions.
Identify potential regulatory obligations, reduce the time and cost of compliance, create dashboards for monitoring and remedial action.
Develop new algorithms/predictive models, analytics solutions for risk assessment, monitoring and optimizations
Identify potential regulatory obligations, reduce the time and cost of compliance, create dashboards for monitoring and remedial action
Responsible for maintenance of delivery of analytical solutions around compliance and risk.
Work closely with stakeholder teams to ensure data classification and definitions of critical KPIs are understood and accurately captured
Quantitative background (Maths, Stats, Finance etc.)
2 to 4 years working experience in compliance in the BFSI space
Database and programming skills in SQL, Python
2-4 years of experience of using analytics to solve regulatory and compliance problems
Experience in development of risk management models, in fraud, AML or financial trade compliance areas
Knowledge and experience of the technologies and processes used for regulatory KYC/AML requirements
Experience in banking, finance or law in control/risk or Compliance (AML/KYC) function
Able to collaborate actively with others in a cross-functional team and develop contextual analysis around data
Strong research skills
Excellent communication skills
Ability to work in a dynamic environment with fast-changing needs and demand for agility in development
Ability to handle multiple tasks
Working on Anti-money Laundering Statistical models and threshold calculations using parameter tuning and automating of rule based models in Compliance division.
Skilled in drafting Business Requirements, Problem Statement, Model Implementation Methodology, Cost Function, Impact and Accuracy Analysis.
Proficient in creating operational and market risk analytics framework for project management and delivery.
Worked rigorously with stakeholders, regulators and IG's for accurately translating Business Requirements into detailed requirements in order to create a “TO-BE” process while assessing the impact and business benefits.
Understand the technology landscape of customers and suggest suitable methods of improvement including the adoption of new products.
Worked on sentiment analysis and pattern recognition model using Python and it's module(NLTK, SCIKIT-LEARN) in Client Analytic Networking.
Building Visualization for HR Dashboard using Analytics and D3, DC and Crossfilter libraries.