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BNP Paribas
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Data Analyst

Data Analyst

BNP Paribas

7 - 12 years

25 - 40 Lacs

bengaluru

Posted:Just now| Platform:

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Skills Required

python presentation skills machine learning artificial intelligence sql microsoft power bi oracle data analysis data mining bi regulatory reporting relational databases apex elastic search data science mifid agile data visualization etl cftc

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position Purpose

This role is intended to provide data analysis and setup the automated reporting, controls and monitoring for the regulatory reporting team or assimilate (Compliance, top management, IG, Business) on an ad hoc and a regular basis using a variety of analytical tools and SQL.

The ODIN Team is part of ITO GM IT, which looks to satisfy the requirements related to regulatory reporting control & monitoring asked by end users represented by OPS Regulatory Reporting or/and C.M.I on four pillars :

Data Analysis

: Perform and document analysis, review and study on specified regulatory topics. Understand business change and requirement needs, assess the impact and the cost.

Data visualization :

Data visualization analysts deliver data in useful and appealing ways to users

Data Mining:

The extraction of patterns and knowledge from large amounts of data from the database ODIN in order to answer to questions, investigations or controls needs.

Data Science

: use of to from available in Relational database to automate process & controls.

Responsibilities

Direct Responsibilities

Set up automated controls -

Put in place controls based on user requirements/needs

Specialized area of expertise required (one or more area) -

Regulatory topics e.g.: MIFID, Transaction Reporting etc.

Management of workload -

Experience in prioritizing and systematically organizing tasks, demonstrating sensitivity to urgent matters, completing tasks in a timely manner

Analysis/Problem solving

Very good with analytical and problem solving skills, should be able to proactively find out the issues and suggest/implement the solutions.

Communication

Should be able to articulate the information to be shared in the understandable way to the people from different background (technical/non-technical). Should possess excellent presentation skills.

Contributing Responsibilities

Prioritization of the tasks and keeping good balance of technical and functional knowledge.

Contributing to the team to work in agile framework.

Work closely with developers and help them to understand concepts to achieve the target

Suggest optimized solutions and work towards implementation of them.

Technical & Behavioral Competencies

Good understanding on Relational databases and should be able to use SQL.
Data mining and analysis.
Basic understanding on ETL process.
Curiosity and analysis skills and willingness to learn.
Good Communication skills.
Quality-focused with a good eye for detail.
Capacity to work in a high-pressure environment.
Must be able to work closely with distributed teams.
Willing to share knowledge and skills with other developers within the team.
Whilst able to work independently, should be a true team player.
Creativity and Problem solving attitude.

Specific Qualifications (if required)

Bachelor/Master's Degree in engineering in computer science or/and financial markets
Advanced knowledge of SQL systems, with experience developing in Oracle environment
Good functional knowledge on financial products and on Regulatory topics (EMIR, MIFID, CFTC)
Knowledge of visualization tools like Microsoft Power BI or Oracle Apex
Write clear technical and functional specification.
Knowledge of Python and Elastic Search.
Experience with machine learning or AI is a plus.
Autonomous, rigorous, collaborative mindset, good management of stress.

Skills Referential

Behavioural Skills : (Please select up to 4 skills)

Ability to collaborate / Teamwork

Organizational skills

Critical thinking

Creativity & Innovation / Problem solving

Transversal Skills: (Please select up to 5 skills)

Analytical Ability

Ability to anticipate business / strategic evolution

Ability to manage / facilitate a meeting, seminar, committee, training

Ability to understand, explain and support change

Ability to develop and adapt a process

Education Level:

Bachelor Degree or equivalent

Experience Level

At least 7 years

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Data Analyst