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Job Opening details:-
Company Name :- Deutsche Bank
Position Name :- Portfolio Risk Data Scientist
Company Location :- Mumbai, Maharashtra
Job Category :- Jobs in Mumbai
Full Job Description :-
Job Title: Portfolio Risk Data Scientist-Associate
Location: Mumbai
Business Overview /Job Summary:
Deutsche Bank’s emerging markets business offers a fully-integrated and global product platform. With unrivalled breadth and superior execution capabilities, we are dedicated to making markets and providing client solutions in a wide range of EM products. Our product range includes external debt and Credit Default Swaps (CDS), FX, rates, options and the more complex cross-market derivatives covering multiple EM jurisdictions.
The ALM and XVA trading teams spread across the EM regions, with a key focus in Asian markets, serve as a conduit of information, knowledge and expertise across these markets. A significant focus area for the team is to expand and diversify its asset base across credit markets in the EM
What we will 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 child care assistance benefit (gender neutral)
Flexible working arrangements
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
Key Responsibilities: (not limited to):
Project Management: Own and deliver multiple and complex analytic projects through an understanding of business context, conversion of business problems in modelling and implementing to create business value.
Collaborate closely with the infrastructure team to effectively organize our data and build data extraction and analysis pipelines
Build and maintain dashboards, reports, and statistical analysis of portfolio risk and client trends across DB’s Global Emerging Markets footprint
Identify actionable insights on the back of this and suggest recommendations , key pillars as below:
Smart Analytics:
Design effective ways of summarizing trends from large amounts of data – smart visualizations (Tableau)
Web / PDF scraping for financial markets events, live risk events, credit events and public client information
Enhancing NLP models to more accurately extract insights from the growing corpus of financial/legal documents
Develop statistical / machine learning models to optimize product density/client penetration while balancing risk and revenue metrics
Design frameworks/strategies to capture data for mitigating credit losses arising from risky situations / clients
Performing ETL tasks and data analyses (exploratory / confirmatory and / or qualitative), which includes a wide use of statistical models / algorithms using Python
Scalable/Efficient Risk Management:
Portfolio Risk Management via platforms on the back of above news/events including alert generation / hedging actions and data analytics
Business Development/Origination:
Opportunity identification based on analysis of market/client flow patterns, standardized cost/revenue metrics
Platform/Tool Buildout: Building mini-applications involving data-scraping / Symphony bots
Skills & Qualification :
MUST:
Solid grounding in SQL, Python (pandas, matplotlib, scikit-learn, web-scraping)
Experience in working with large datasets, data warehouses and the ability to pull data using relevant programs/coding
A good Computer Science undergrad degree with knowledge of statistics and experimental design
Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
Proficiency in basic statistics, hypothesis testing, segmentation and predictive modelling.
PREFERRED:
Experience in credit risk analysis
Experience with tools for working with “big data” in a distributed fashion
Exposure to application development
How we’ll support you
Training and development to help you excel in your career
Flexible working to assist you balance your personal priorities
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
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.
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