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15/12 Dhanya Mathew
Talent Manager at Bridgei2i Analytics

Views:2212 Applications:257 Rec. Actions:Recruiter Actions:14

Bridgei2i - Predictive Modelling Lead - Risk (4-8 yrs)

Bangalore Job Code: 522036

BRIDGEi2i Analytics is looking for talented individuals who are interested to be part of "Our" journey to build a best-in-class organization, driving increased adoption of business analytics across the globe.

The role will involve taking accountability of end to end client management including analytics deliverables with the support of a team & be the SPOC for all client interactions. The role will be expected to engage with the client from a Business & Data perspective to engage with the client in terms of solutions to be offered.

The person holding this position will be responsible for leading the solution development and implementing advanced analytical approaches across a variety of projects, industries and solutions. Successful candidates are expected to have a mix of analytical, functional and project management skills - someone who can work with business requirements and develop them into a useable and scalable solution; someone who fully understands the value proposition of data mining and analytical methods, someone who has the creativity to develop unique analytical approaches to problems when required and someone who can lead a team of analysts to delivering projects on time and as per client and senior management expectations.

Role and Responsibilities :

- Responsible for running the risk model, preparing in depth model review, documents and reports of loss estimates of client's portfolio and developing and performing various quality assurance checks

- Assisting in implementation of various risk models with model, research, analytics and software team. Responsibilities include reviewing the theoretical assumptions

- Responsible for creation of test plan according to requirement of the model; verify, validate and execute the entire plan

- Expertise in conceptualizing business problem into a tangible deliverable (an exhaustive report), model documentation and validation report writing, exposure to BASEL norms

- Responsible for setting up independent benchmarking tools for testing of various scenarios and boundary conditions of complex models and the implementation of the model.

- Understand business requirements to translate business problems into analytics problems and construct analysis road-map based on the business context

- Manage large volumes of structured and unstructured data, extract & clean data to make it amenable for analysis

- Analyse big data using statistics, econometrics, mathematics, operations research, and text mining techniques

- Develop good visualization to communicate business insights from analysis and make actionable recommendations

- Help deploy analytics solutions and enable tracking of business outcomes to measure return on investment

- Keep up with cutting edge analytics techniques and tools in the continuously evolving area of decision science

- Direct/Lead Project teams consisting of analysts & consultants in terms of planning, execution, motivating to perform and managing quality excellence

- Effective utilization and resource management by monitoring and assessing project resources, relinquish resources or request additional resources as needed

- Mitigate the risks associated with successful project plan completion

- Client/Customer engagement & management

- Assist in developing/coaching individuals technically as well as on soft skills during the project.

Qualification :

- 5+ years of work in statistical modelling and business analysis role

- Bachelors/Masters in Economics, Engineering, Mathematics, IT, Statistics and MBA/PGDBM

Skills :

- Aware of various statistical analysis methods such as Regression, Logistic regression, decision trees, other segmentation methods and technical expertise in one of these techniques

- Simulation & Mathematical optimization models

- Time series forecasting methods

- Hands on experience in statistical modelling software such as SAS or R

- Strong Microsoft Excel, Access and PowerPoint skills (VBA & SQL experience preferred)

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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