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Xtrackers Product Specialist, AVP

Xtrackers Product Specialist, AVP

ConfidentialPune, India
30+ days ago
Job description

Position Overview

Job Title : Xtrackers Product Specialist, AVP

Location : Pune, India

Role Description :

  • In this role you will act as a crucial interface between the Xtrackers Products team and various technology and operations teams.
  • Your responsibilities will encompass developing a comprehensive data strategy for Xtrackers and implementing the Xtrackers data book of work. You will focus on enhancing the data infrastructure, improving data quality, and systematically leveraging data from internal and external sources to foster efficient data-driven processes.
  • The Xtrackers Products team is responsible for defining and implementing the Xtrackers product strategy, structuring and maintaining ETF and other passive investment solutions, and acting as product specialists for our clients and client coverage colleagues.
  • ETFs and other passive investment solutions are data-intensive products; your role is thus crucial for the successful implementation of Xtrackers' growth strategy, as well as the stabilization and improvement of the Xtrackers product setup. You will work in an international team spanning Germany, the UK, Luxembourg, the US, Japan, and India.
  • The team is very diverse, with members bringing a wide range of quantitative and financial educational backgrounds and practical experiences. We look forward to welcoming our next Product Specialist to our ambitious and driven team and to jointly grow our business to the next level!

What We'll Offer You

As part of our flexible benefits program, you will have access to :

  • Best-in-class leave policy
  • Gender-neutral parental leave
  • 100% reimbursement under childcare assistance benefit (gender-neutral)
  • Sponsorship for industry-relevant certifications and education
  • Employee Assistance Program for you and your family
  • Comprehensive hospitalization insurance for you and your dependents
  • Accident and term life insurance
  • Complimentary health screening for employees aged 35 and above
  • Your Key Responsibilities :

    You will be responsible for developing a holistic data strategy for Xtrackers and implementing the Xtrackers data book of work :

  • Represent Xtrackers Product in COO data projects to ensure the use of golden data sources and consistent implementation of data quality checks. Define business requirements and closely collaborate with COO on project delivery.
  • Develop a deep understanding of the various available internal and external data sources and develop a Xtrackers data strategy based on which you prioritize and expand our internal DaaSs (data-as-a-service databases and APIs) and enhance product master functionality for Xtrackers.
  • Coordinate requirements and project delivery with various internal teams (esp. COO) and external stakeholders such as index providers, custodians, website service provider, data vendors and data disseminators.
  • Establish and enhance data quality controls to ensure accurate data across various databases and systems.
  • Document and maintain data lineage for Xtrackers in collaboration with the CDO.
  • Ensure ongoing maintenance of Xtrackers products tools and software.
  • Systematically replace legacy data feeds and enhance internal and external API usage.
  • Develop quality assurance processes for Xtrackers product documents (e.g., KIDs, factsheets).
  • Create and deliver data and data science training sessions, ensuring continuous upskilling for the Xtrackers (Products) teams in close collaboration with the PD data science and automation working group.
  • Your Skills and Experience :

  • (Post-)graduate degree or equivalent international qualification.
  • Strong quantitative background, with academic or professional grounding in engineering, mathematics, data science, computer science, business analytics or similar.
  • High proficiency in SQL and Python or any other scripting language with working knowledge of Bloomberg and Aladdin would be a plus.
  • Proficient in modern software development practices, including version control with Git, continuous integration and deployment (CI / CD) pipelines, and scalable systems using microservice architecture
  • Good understanding of ETFs and foundational understanding of equity and fixed income instruments, including derivatives.
  • Strong project management and stakeholder management skills.
  • Minimum of 3 years of relevant experience in data management, data science, business analytics or quantitative financial services.
  • Personal Characteristics :

  • Strong analytical and critical thinking skillset and comfortable working in a technical environment.
  • Self-motivated and capable of working independently, with a strong willingness to learn and take on new challenges
  • Organized and efficient, with the ability to manage multiple priorities and work in a fast-paced and dynamic environment.
  • Strong team orientation with a collaborative approach to problem-solving.
  • Excellent written and verbal communication skills, with strong attention to detail.
  • Demonstrated ability to engage effectively with stakeholders across various levels of the organization.
  • Proactive in identifying opportunities for process improvements and innovation.
  • 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

    We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

    Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

    We welcome applications from all people and promote a positive, fair and inclusive work environment.

    Skills Required

    Data Management, Git, Bloomberg, Data Science, Business Analytics, Sql, Python

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