Job Title: Senior Data Scientist, AVP
Location: Bangalore, India
Role Description
- As a Senior Data Science Leader, you will analyse, interpret, and derive actionable insights from extremely large and complex datasets using Google Cloud Platform (GCP). A central focus of this role is understanding how trades flow through the bank at scale whilst leveraging statistical and analytical methodologies to: identify bottlenecks, anomalies, categorise system/client/user behaviour, and identify efficiency opportunities across the trade lifecycle.
- You will work closely with business, tech, and product partners to translate complex business questions into robust statistical investigations that deliver measurable impact. Where solutions are meaningful, repeatable, and actionable there is scope to extend the role to deploy AI/ML solutions to take preventative actions.
- Development of data pipelines and deploying code to production is managed by the wider engineering team.
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
- Analyse trade‑flow datasets end‑to‑end to identify trends, inefficiencies, anomalies, and behavioural shifts
- Combine market data with internal trade data to detect signal, regime changes, or operational risk patterns
- Build scalable analytical workflows using GCP tools (primarily BigQuery and Dataflow)
- Develop forecasting and predictive‑analytics models to support capacity planning, operational readiness, and risk mitigation
- Work with business, tech, and product teams to frame ambiguous analytical questions and propose structured approaches
- Communicate insights through clear narratives, dashboards, and visualisations tailored to financial‑markets stakeholders
- Apply rigorous statistical techniques to validate findings, ensuring reproducibility and business relevance
- Optimise analytical workloads for performance, scalability, and cost efficiency in GCP
- Contribute to data quality, metadata management, and analytics standards for trade‑related data
- Collaborate with engineering teams to productionise repeatable analytical workflows
- Explore opportunities to evolve analytics into preventative AI/ML tooling where patterns indicate actionable interventions
Your skills and experience
- Leading data science for the program, collaborating with others to understand requirements, design, validate, & implement solutions, development of junior colleagues in the team
- Strong statistical and analytical background, with expertise/interest in:
- Time‑series analysis, forecasting, trend decomposition
- Clustering, segmentation, and regime‑shift detection
- Anomaly and outlier detection across trade and market datasets
- Predictive modelling and exploratory data analysis (EDA)
- Strong interest in markets and investment banking, including:
- Trade lifecycle concepts
- Market microstructure
- Trading behaviours and execution patterns
- Expertise in Python (Pandas, NumPy, SciPy, StatsModels, PySpark)
- Strong SQL skills, including experience with very large datasets
- Hands‑on experience with Google Cloud Platform, especially:
- BigQuery
- Vertex AI (for analytics tooling and optional model development)
- Looker/BI tools for analytical storytelling
- Experience working with distributed data‑processing frameworks
- Familiarity with ML, AI techniques, and Agentic frameworks is a bonus but not the primary focus
- Experience with data pipelines and orchestration tools (Cloud Composer, Cloud Run) for automated analytics workflows
- Strong data visualisation capabilities (Python plotting, Looker, Tableau)
- Experience applying rigorous statistical methods (hypothesis testing, confidence intervals, validation frameworks)
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.html
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.
What We Do
At Deutsche Bank, we give original thinkers the space and support they need to shine. Merging local knowledge with global vision, in-depth insight with industry-leading digital expertise, if you’re an innovator by nature, we can help you to unleash your potential. We see things differently at Deutsche Bank – and we’re proud of our fresh perspective. Today, we’re driving growth through our strong client franchise, investing heavily in digital technologies, prioritising long-term success over short term gains, and serving society with ambition and integrity. Wherever your interests lie – in investment banking, trading, private wealth, asset management, retail banking - or many of the infrastructure functions that support them – you’ll discover resources, training and opportunities designed to keep you ahead of the curve. Intelligence has no boundaries: we welcome high-achieving, talented individuals from any background. If you’re full of imagination, enjoy solving problems and respond positively to complex challenges, discover a career to look forward to and join us!
