Job Description :
Hi,



Kindly find mentioned JD.



Position : Risk Business Analyst with Anti-Money Laundering Exp

Location : NYC, NY

Duration : 6+ Months

Interview : Phone and Skype



No H1B



Must have exp with Anti-Money Laundering



Regulation, Compliance and Anti-Financial Crime (AFC) protect the integrity and reputation of client. They manage the Bank’s risks and help to avoid unintentional rule breaches and conflicts of interest. At the same time, they also advise on ethical conduct, governance issues and keep our organization up-to-date on regulatory and political challenges.



Department



AFC’s Mission is:

To be a trusted and respected independent control function that aims to protect the bank from financial crime risk.

To establish a proactive framework to prevent, detect, investigate and report bank-wide financial crime risk events



Client is committed to the highest standards of control in the areas of Anti-Money Laundering (AML), Sanctions & Embargoes, Anti-Bribery and Corruption (ABC) and Anti-Fraud (collectively referred to as Anti-Financial Crime All employees are required to adhere to these standards to protect DB and our reputation from those who may intend to use our products and services for illegal purposes including, but not necessarily limited to, money laundering, bribery, corruption, fraud and/or Terrorist Financing.

The purpose of the AML Financial Crime Intelligence & Analytics team is to ensure that the transaction monitoring systems it is tasked with surveilling are at all times being used in accordance with the legal and regulatory Anti-Money Laundering framework within the Americas and to escalate issues of concern to AML Management in a timely manner.

Role reports to the Threat Analytics Manager in NY as part of the wider Americas AML and Anti Financial Crime Team. As part of team, focus will be projects to develop new techniques identifying outlier risk behaviours and optimization initiatives for risk management/reporting.



Key Responsibilities:

Analyze behaviors for potential Anti-Money Laundering related activity

Perform threat analysis and develop threat models applying machine learning, classification models, clustering, decision trees, time series regression, ensemble models and stochastic statistics

Usage of data/information management ie.big data analytics technologies and machine learning methods

Conduct research and development of Robotics Process Automation solutions

Work on special projects & assist the NY/JAX Team as needed



You will be/have:

Undergraduate with post graduate studies in quantitative area

Understanding of financial, compliance, legal and/or regulatory industry

Knowledge in analytics tools, machine learning / AI languages and algorithms (e.g. R, Python, SQL)

Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.

Excellent written & verbal communication skills

Strong interpersonal skills, professionalism and teamwork awareness

Detail-oriented with excellent organizational skills