Data Scientist

2 weeks ago


Mumbai, Maharashtra, India Deutsche Bank Full time

Data Scientist:

Job ID:

R0317912
Full/Part-Time:Full-time
Regular/Temporary:Regular
Listed:
Location:Mumbai
Position Overview:

**Job Title

  • Data Scientist****Location
  • Mumbai, India**
    Role Description

About DWS
DWS, publicly listed asset management division of Deutsche Bank, is one of the world's leading investment management organizations with more than €925 billion of assets under management (as of 31 st Dec DWS provides flexible products and solutions to a wide range of investment opportunities across all asset classes - from pooled funds to highly customized portfolios for a wide range of investors and offers individuals and institutions traditional and alternative investments across all major asset classes.

About the Product Analytics team
PD Analytics is a sub-division within the Product Division. Our objective is to develop and implement state of the art analytical models and visualizations and to integrate the best available data in order to facilitate data-driven decision making across a wide range of investment-, product
- and coverage-related topics. For this, we leverage advanced analytical methodologies, the latest technology available as well as cooperation with external partners such as universities. Our key focus is on performance, flows and profitability of DWS' and peer products across all asset classes, client segments and regions. We are a global team of experts partnering closely with portfolio managers, product specialists and coverage teams. We are strong believers in data-based decision making.

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
As a Data Scientist - Product you are part of the Product Analytics team in the global Product Division:

  • Build advanced analytics use cases on investment
- and product-related topics for e.g Peer Comparison, Market Flow Trends, Performance etc. on our Qlik Sense based business intelligence (BI) platform

  • Work on productrelated topics (e.g., fund flow prediction, market sentiment, trend analysis, rating forecasting, sales opportunities)
  • Further expand capabilities of our selfservice Qlik Sense platform with interactive access via mobile devices
  • Improve our central data model and support further integration into strategic data sources of DWS
  • Contribute to ongoing methodological and technological improvements of our approach
  • Support regular creation and automation of standard reporting
  • Be an effective communicator between business and IT/ digital teams
  • Embrace startup mentality to ensure competitiveness in a growing digital market

Your skills and experience

Education and Experience:

  • Bachelor or Master in Computer Science/ Engineering/ Statistics or any other quantitative discipline
  • 3+ year experience in data visualization, preferably in the leading BI platform Qlik Sense
  • 3+ year experience in data management and modeling
  • Experience in Data Science with Python or R & (Big) Data Engineering, knowledge of GCP, Hadoop / Spark, CDSW and relevant data science libraries would be a definite plus
  • Advanced Proficiency in MS-Office, particularly XLS and PPT
  • Experience with the relevant data providers such as Morningstar, Broadridge, eVestment is an advantage
  • Strong analytical skills with engineering mindset
  • Experience in sustainable investing and ESG would be a clear asset
  • Good business acumen, with the aptitude to successfully translate between technical and nontechnical audiences including a good understanding of the model lifecycle from discovery to deployment

Competencies:

  • Ability to discuss at eye level with senior business stakeholders experience in investment management or in strategy consulting would be a plus
  • Highly organized with a keen eye for detail and proven track record operating in a fast
- paced environment

  • Intellectual curiosity and initiative
  • Very good communication skills in English further skills in German would be an asset

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:
Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a cul
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