AVP - TTS Analytics - Machine Learning/Modeling/NLP/Forecasting/Python/R - KPO

A. ROLE & RESPONSIBILITIES

Business/ Department

Objectives: Provide analytic support to the business teams; understand the business context, formulate and execute appropriate analytical approach to address the business situation; develop/ own comprehensive end to end solutions to address business problems; drive innovative analytical approaches across the broader team and conceptualize and execute solutions to ambiguous problems; independently manage end to end partner communication.

AVP will be leading one of the teams within the Global TTS analytics.

Core Responsibilities: 1. Analytic Project Execution: Build effective teams to deliver on business priorities. Decompose business priorities into candidate projects. Consult with partners to initiate project aligned to business needs. Manage the project pipeline to ensure prioritization and resourcing. Influence analytic approaches through learning's and insights.

2. Establish a structured interaction model with the partners.

3. Communication: Effectively communicate strategic considerations with team, partners and senior management.

4. Organizational Development: Dismantle organizational silos. Drive organizational development initiatives.

5. Participate in Periodic Meetings with Manager and Business Partners to share overall status of work, progress, issues.

6. Seek synergies in activities across teams and implement value-added enhancements to the way work is executed

7. Make an objective assessment of the performance of the team and identify opportunity areas to enhance performance

Education: - Highly numerate, as demonstrated by Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability.

Experience: - 7-8 Years of Analytics experience exposure to Financial Services will be preferred

- Strong experience of managing senior stakeholders and building analytical solutions

Skills: Analytical Skills:

- Statistics

- Business Problem Solving

- Text Analytics - Ability to synthesize unstructured data and find actionable themes/insights

- Pattern Mining/Detection

- Machine Learning Algorithms

- Python/R/Java/Scala

- Big Data/HADOOP - HIVE/PIG, Pyspark

Soft Skills:

1. Build high-performance teams

2. Lateral thinking

3. Act as a Change leader

4. Coaching and Mentoring team members

5. Interviewing skills and precision questioning

6. Strategic Ability

7. Critical thinking

8. Working with Ambiguity

9. Strong project management skills