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24/08 Jyothi
Recruitment Consultant at Derive Recruitment Consulting Pvt. Ltd

Views:182 Applications:50 Rec. Actions:Recruiter Actions:27

Senior Manager/Manager - Analytics - FinTech - AML/KYC/Fraud Analytics (6-12 yrs)

Bangalore Job Code: 1144430

Senior Manager / Manager Analytics # Fintech - AML, KYC, Fraud Analytics


Roles & Responsibilities:


- Supervise, lead & train a team of analysts and contribute actively to team development.

- Work closely with the operations, Product, Tech teams

- Create, manage, and utilize high performance relational databases (using SQL or other analytical tool)

- Query and mine large data sets to discover transaction patterns, examine financial data and filter for targeted information - using traditional as well as predictive/advanced analytic methodologies

- Explore, ideate and develop AML scenarios/rule-sets, validate the existing ones, and look for opportunities to optimize the existing scenario thresholds backed by data insights.

- Design and development of user-defined application modules using BI tools (QlikView / Tableau/ QlikSense /PowerBI etc), perform data quality control, develop database reports and user interfaces, and normalize relational data

- Develop analysis on business problems and prepare and present complex written and verbal materials to senior management and stakeholders.

- Ability to understand and follow industry best practices for AML.

- Leverage information from regulatory changes, new regulations and internal policy changes to better identify new key risk areas.

- Monitoring and regulating high risk activities for various PhonePe business verticals.

- Identify automation opportunities and suggest process improvements.

- Analyze the customer transactional and behavioral data to identify the patterns, trends, anomalies and develop strategies to mitigate the suspicious activity.

- Support the ad-hoc reporting requirements

Education & Preferred Qualifications:

Requirements include, but are not limited to:

- Bachelor's in engineering or Master's degree in Management, Mathematics, Statistics or related quantitative discipline

- Candidate should have demonstrated experience related to AML, Know-Your-Customer (KYC) and Sanctions data, technology and analytics

- 6+ years of experience in the field of analytics preferably in identifying Money laundering trends, fraud patterns and customer risk profiling.

- Strong quantitative abilities, distinctive problem-solving and excellent analytics skills

- Strong organizational, communication, presentation and project management skills

- Excellent SQL and Excel skills. Should be able to write queries to manipulate and consolidate data from multiple data sources.

- Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modeling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation

- Working experience with BI tools (QlikView / Tableau/ QlikSense /PowerBI etc) will be an added advantage

- Strong background in statistical modeling and experience with tools such R /SAS /Python or SPSS.

- Understanding of AML/CFT framework along with excellent research mindset

- Ability to work independently and to liaise with other departments and coordinate with various stakeholders (internal / external).

- Any recognised AML certification would be an added advantage.

The AML Analytics team is a part of the Trust & Safety team which is a high impact team which makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to bring insights to the core AML team responsible for further investigation on transactional trends/patterns. Our work increasingly employs specialized competencies, such as advanced analytics, data visualization, application development, and geographical trend analysis.

As a Manager - Anti-Money Laundering Analytics, you will have the opportunity to assist the core AML team to get the best out of data as a requirement and understand the complexities of issues they face and help the team with quality data sets for further analysis/investigation. If your dream is to build processes and digital tools to better understand financial transactions and identify trends that would impact millions of customers, partnering with some of the best minds and executing on your dreams with purpose and speed, join us!

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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