Infosys BPM - Practice Lead/Senior Practice Lead - Knowledge Services - Banking & Financial Services Analytics Domain

Job Designation : Practice Lead / Senior Practice Lead - Knowledge Services

Job Role : Analytics (Credit Risk Analytics, Market Risk and Operation Risk Analytics, Fraud analytics, and Customer Analytics)

Domain : Banking and Financial Services

Job Location : Bangalore

Company : Infosys BPM Ltd.,

1. OBJECTIVE OF THE ROLE :

We are looking for a Senior Practice Lead to work alongside clients- various business functions in Banking and Financial Services Analytics Domain and play a critical role in analyzing data, building models and identifying opportunities to improve clients- business metrics.

The role holder should have good experience in the following areas :

- as a - Subject Matter Expert- for BFS domain within the Analytics Practice

- Strong experience in BFS Analytics domain in areas like Credit Risk Analytics, Market Risk and Operation Risk Analytics, Fraud analytics, and Customer Analytics

- Provide insights and develop predictive analytics solutions using statistical models for Retail, and Commercial Banking Clients

- Build BFS analytics practice by identifying and implementing analytical solutions using advanced tools and techniques

- Lead the pilot projects for various existing clients to check the feasibility and effectiveness of the proposed solution. Work with clients and deliver independently

2. RESPONSIBILITIES :

- Identify relevant KPIs : Define business metrics relevant to the client's business functions & take complete ownership for driving their improvement

- Build niche solutions for embedding Analytics. It involves dealing with Ops/service line/BD/Sales to build the most relevant solutions for potential & prospective clients

- Develop paid PoCs (Proof of Concepts) working with client stakeholders and mapping their business pain points and problems

- Works with relevant Enterprise information management teams to organize the data capture and models for data analysis

- Develop analysis to understand performance : Performs quantitative and qualitative analysis like (raw) data analysis, statistical modelling, data deep-dives etc. to acquire insights from data

- Develop actionable insights to drive outcomes : Translates insights into an analysis report and communicates the insights back to the requestor.

- Map insights to action items (working with clients stakeholders) in order to improve business metrics

- Facilitate monitoring of actions to drive outcome: Monitor actions (targeted business outcomes achieved)- by providing guidance and feedback to the operations team

- Works with Reporting specialists to standardize and automate recurring analytical requests into standard reports and dashboards

- Project collaboration : Work effectively both independently and as a member of cross-functional teams

- Project governance : Ensure compliance to governance model. Seek and manage customer feedback in order to ensure strong customer satisfaction on projects

3. EXPERIENCE / SKILLS / EDUCATION :

3.1 Work Experience :

- Minimum 10 and preferred 12+ years of work experience in BFS Analytics domain in areas like Credit Risk Analytics, Market Risk and Operation Risk Analytics, Fraud analytics, and Customer Analytics

- Strong understanding of banking products across retail and commercial

- Hands-on model development (PD, LGD, EAD), validation, governance, risk strategy, implementation, economic/regulatory capital calculation, stress testing and end to end delivery of risk management solutions for clients

- In-depth understanding of new/ evolving regulations in the Risk management space

- Exposure to analytical techniques used for development and validation of wide range of risk and valuation models is required

- Excellent experience in SAS, R, SQL, Excel etc.

- At least 2-4 years of experience in front-line business consulting, crafting solutions and delivering presentations to management teams

- Experience in statistical model building using SAS, R

- Expert knowledge of advanced statistical techniques like Decision Trees, CART, SEM, Forecasting techniques and tools like regression, correlation, etc.

- Ability to analyze data & interpret results

3.2 Skills - Must Have :

- Strong understanding of banking products across retail and commercial

- Hands-on model development (PD, LGD, EAD), validation, governance, risk strategy, implementation, economic/regulatory capital calculation, stress testing and end to end delivery of risk management solutions for clients

- In-depth understanding of new/ evolving regulations in the Risk management space

- Strong story-telling skills to deliver recommendations from data analysis - proven skills in PowerPoint, in a business-case presentation context

- Strong experience in crafting solutions and delivering presentations to clients /management teams

- Reviews and builds upon the FSI analytics capability existing in the various parts of the Infosys organization

- Brings the FSI domain relevance in all pursuits and business conversations with client organizations

- Interprets and translates business requirements into solutions that can be taken to the market

- Operates as a single point of contact for customer facing groups within Infosys and liaises with multiple teams within the organization

- Has strong project management skills

- Fluent verbal and written communication skills, presentation skills,

- Self-motivated and takes ownership

3.3 Skills - Good to Have :

- Hands-on experience with any of the analytical tools (SAS, R, Python, etc.)

3.4 Education :

- Post Graduate or MBA (preferred) from Tier 1 institutions with graduation in Engineering / Mathematics / Operations Research / Science

If interested, kindly share your updated resume along with below details :

- Full Name :
- Experience into Analytics :
- Experience into BFS domain :
- Current CTC :
- Expected CTC :
- Notice Period :
- Current Location :
- Re-location to Bangalore (If non-local) :

Laxman Shaw
Talent Acquisition Specialist
Mobile: +91, 8088309089
Infosys BPM Ltd.,