Analytics Analyst

Job Description:

In Scope of Position based Promotions (INTERNAL only)

Job Title- Analytics Analyst

Location- Bangalore, India

Role Description

Anti-Financial Crime

Anti-Financial Crime (AFC) is responsible for the prevention of money laundering, the fight against terrorist financing, the monitoring of financial and commercial sanctions, and the fight against other criminal activities.

Anti-Financial Crime Modelling (AFCM) owns the global Money laundering prevention models, which are used by the bank to detect potential money laundering activities. The AFC Tuning & Optimization (T&O) function performs the verification and optimization of those Transaction Monitoring models, aligned to the AFCM Target Operating Model. The Analytics Analyst in the Tuning & Optimization (T&O) area supports the review and optimization of transaction monitoring models.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

• Implementation, optimization and improvement of existing transaction monitoring models according to the AFCM T&O processes.
• Ensure the quality, completeness and integrity of T&O activities and their full documentation.
• Conduct data analysis as part of the Ongoing Performance Monitoring of the transaction monitoring models.
• Build and maintain partnership with local and central AFC teams. Proactively engage with risk and audit partners to ensure continuous review and transparency of measures.
• Provide ad hoc analysis as part of the T&O and support the work of the team head/lead.

Your skills and experience

• You have a degree in (business) mathematics, (business) computer science, data science, information management, statistics, economics or comparable
• You have several years of professional experience in analytical roles and in creating analyses and visualizations of large and complex data sets with the purpose of gaining business insights
• You have experience in analytics & data mining by using SQL (must) & Python (would be a plus)
• You already gained relevant experience in the field of AML and ideally also have experience with transaction monitoring systems such as Mantas, Smaragd, or Actimize (not a must)
• You have excellent communication skills in English, both oral and written, and confident appearance showing very high integrity, loyalty, and reliability

How we’ll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.htm

Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.

We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.

Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.