E902 DWS India Private Limited, Maharashtra Branch
Free · takes a minute · your resume fills your profile
CoreHRx never asks candidates for money. If anyone does, .
Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Location: India
## **Job Description:**
**Job Title: Xtrackers Product Specialist (Associate) – Indexing, Portfolio Analytics & Investment Intelligence**
**Location: Mumbai or Pune**
**Role Description**:
In this role, you will act as a quantitatively minded Product Specialist with expertise in indexing, market data analytics, and investment intelligence. You will help develop and enhance Xtrackers' portfolio construction, backtesting, indexing and investment analytics capabilities. You will leverage Python, modern analytics frameworks, and cloud-based technologies to generate actionable insights for clients, sales teams, business partners, and retail investors. You will work closely with Xtrackers sales teams and clients globally, supporting product discussions, investment analytics, and strategic initiatives across regions and asset classes. The role combines quantitative research, product development, and stakeholder engagement in a highly international environment, providing the opportunity to contribute to innovative investment solutions and the data-driven capabilities that support Xtrackers' growth strategy.
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 experience. 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:
**Your Key Responsibilities:**
Develop and enhance web-based and Python-powered analytics and portfolio construction tools with an aim to generate investment intelligence from product, flow, performance, index, fundamental, and ESG data.Support on ideation, index, product & solution design/development while assuring alignment with client demand, compliance with regulatory and firm-level requirements;Build expertise as a Product Specialist across asset classes, investment themes, index methodologies and the competitor landscapeIntegrate and enhance internal and external data sources to support investment analytics, product development, and investment intelligence capabilities.Support the execution of ETF and ETC lifecycle events, including launches, changes, and terminations, while coordinating with key stakeholders.Help the team manage the Xtrackers fund range, keeping products up-to-date with regulation, competition and client preferencesundefinedPartner with Product, Portfolio Management, Capital Markets, Sales, and fellow Indexing group members on client projects, product initiatives, and thought leadership contentContribute to strategic initiatives and ad hoc projects that support the growth of the Xtrackers business
**Your Skills and Experience:**
**Personal Characteristics:**
**About us and our teams**
We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.
At DWS, we’re capturing the opportunities of tomorrow. You can be part of a leading, client-committed, global Asset Manager, making an impact on individuals, communities and the world.
In an ever-changing landscape, markets face a new set of pressures – but here, we see the opportunity in challenges. Opportunity to invest responsibly; to create change. Whether it’s collaborating to discover innovative solutions or exploring your curiosity to develop new skills – at DWS, we support you to achieve your goals.
As the world continues to evolve, we do too. Join us, and you can shape our transformation. You can collaborate with industry thought-leaders, gaining new and diverse perspectives. You can share ideas and be yourself. You can drive innovative and sustainable solutions that influence markets and behaviours for the better.
This is your chance to lead an extraordinary career.
This is your chance to invest in your future.
Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.
From live job posts on CoreHRx, updated 11 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post asks for 2 Yrs experience.
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
Questions you may be asked