Manager - Capital Analytics - Transaction Advisory Services

Manager, Capital Analytics

The Capital Analytics Group (presently the key engagement for the team) is the centre of excellence for modelling services in the firm with an international reputation. The assignments cover a wide range of countries and industry sectors.

The Capital Analytics team serves as the thought leadership and tool engine with a team of digital professionals to support new analytics tool development, process re-engineering and automation, financial analytics and user focused visualization.

Department : V&BM, Transaction Advisory Services

Reporting to : Assistant Director

Job description:

The main objective is to achieve business growth by thought leadership in analytics by developing new products and solutions for M&A Analytics and maintaining strong working relationships with key business decision-makers, informing them of our scope of services and communicating how these services benefit their organizations

Primary responsibilities and accountabilities:

- Translate high level business requirements/problems into sound and comprehensive analytical framework through appropriate usage of advanced statistical / mathematical techniques and responsible for successful delivery of the solutions

- Assisting in delivering well organized reports, advanced dashboards making use of new age tools and technologies

- Be well versed with Operations Research, Simulation Modelling, Optimization, Supply Chain Management, Linear programming and related concepts and solutions.

- Benchmarking and measuring the performance of various business sectors & projects, building and publishing detailed KPI scorecards and reports, identifying and driving new opportunities based on customer and business data

- Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team

- Implement statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, figures and other relevant information

- Deploy machine learning methodologies and algorithms to build data products that streamline the process from data collection to insight generation

- Work with the ELT to develop and implement brand in the space of Analytics, extensive Partner level interaction and User business uptake & Development

- Work with process owners to analyse the processes and identify improvement opportunities and drive continuous improvement initiatives across processes and systems

Competencies/skills:

Highly numerate and analytical individuals preferably with an excellent academic record and a strong focus on new and emerging technologies

- B.E & M.B.A / CA/ CFA with 8-12 years of experience in any of the following analytics solutions including predictive analytics, Optimization, Operations Research for financial services firms and other horizontal functions : marketing, sales, supply chain, operations with relevant courses in Operations Research, Industrial Engineering

- Strong statistical background with hands on experience in: Logistic and Linear Regression, Clustering and Segmentation, Time Series forecasting, Exploratory Data Analysis

- Rich experience in advanced analytics - predictive analytics, forecasting techniques, customer behaviour, web analytics, social media, text mining, NLP

- Strong Analytical skills has ability to ask right questions, analyse data, draws conclusion by making appropriate assumptions

- Experience in Hadoop, SAS, Matlab, R, SQL, and VBA.

- Experience in Simulation Modelling, Optimization, Linear Programming problems as applied to different Industry groups.

- Working knowledge of dashboard development, standard reporting, and automation, performance management using reporting tools such as Tableau, Qlikview, or MS Excel VBA.

- Experience of working on system integration/implementation/automation related projects would be an added advantage

Good to Haves:

- Any prior experience working with off the shelf BI reporting tools or ETL applications such as Informatica will be looked at very favourably.

- Experience in testing methodologies and using testing tools.