Job Description:Job Title- Senior Business Functional Analyst for Adjustments acceleration, AVP
Location- Pune, India
Role Description
The Credit Risk Data Unit provides quality assured, and timely Finance relevant Risk information and analysis to key stakeholders in a transparent and controlled manner covering the end to end processes for all relevant metrics in an efficient and regulatory compliant way.
This role is for the Global Risk Data Control and Validation Group Function team responsible for aggregating, quality assuring and timely submitting credit exposure data into FDW as per BCBS standards. This data impacts all downstream regulatory and regional reporting of the Bank including key metrics like Credit Risk RWA, Leverage Exposure and Regulatory Capital. RDV- GF is part of the Credit Risk Data Unit (CRDU) team within Group Finance and their key stakeholders include but are not limited to: CRDU, Business Finance, Accounting Close, Book Runners and Source & FDW IT Support teams. This Group process is centrally based out of Pune.
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
- This is a key role requiring proactively managing the resolution of Data Quality (DQ) issues relating to sourcing of good quality input data into FDW from various source systems i.e LS2, SUMMIT, RMS, Magellan etc. This includes strategic, non strategic and manual data feeds.
- Support the change book of work as set out by FRM KD workstream, by engaging with Business, Finance, Change teams and Technology on initiatives for strategic implementations and Data Quality (DQ) remediation
- Navigate through the complex logics and algorithms built in the data enrichment layers i.e FCL, EOS, Kannon, risk engine to perform root cause analysis on the data quality issues.
- Provide input into relevant governance processes relating to of Data Quality issues, ensuring accurate monitoring, tracking and escalation.
- Providing subject matter expertise and analytics to support Finance and the Risk team regarding risk and regulatory topics or initiatives e.g. optimization topics
- Represent the team in relevant Production and Change forums and raise issues relating to month end data quality issues and their resolution
Your skills and experience
- Minimum 8-9 years’ experience in Credit Risk Controls, Banking Operations, Business Process Reengineering, Change, Audit or Finance Industry.
- Good understanding of banking products (Debt, SFT and Derivatives) with working knowledge of Global Markets Financial products
- A good working knowledge of the front to back system architecture within an investment bank.
- Advance skills in MS Applications (Excel, Word, PowerPoint and Access). Working knowledge of SQL’s a plus.
- Strong quantitative analysis skills
- Strong stakeholder management skills/able to manage diverse stakeholders across regions.
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.
