Jobs in ANALYTICS

Job Description:

Requirements:
• Job location: Bangalore
• Education: Masters or Ph.D. Computer science, Engineering, Statistics, Mathematics or related disciplines
• Overall 4 – 8 years of work experience in relevant hands on experience handling data driven decisions
• Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments 
• Must have strong of programming experience in Python
• Proven background in at least one of the following - Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics
Must have strong of programming experience in Python
• Proven background in at least one of the following - Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics 
• Proficiency in statistical and other tools/languages - R, S-plus, SAS, STATA, Python, Java, Scala 
• Good to have strong combination of programming experience (SAS, R, SPSS )
• Familiarity with relational databases and intermediate level knowledge of SQL 
 • Ability to think creatively to solve real world business problems
 • Ability to work in a global collaborative team environment 
• Proficient verbal and written communication skills in English
Desired Skills and Experience:
• Experience leading or collaborating with a team of data scientists in developing and delivering machine learning models that work in a production setting
• Minimum 3 - 5 years of Data Science experience
• Combination of programming experience (C, C++, UNIX, Java, Linux)
• Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc.
• Experience working with large data streaming technologies like Spark, Flink, etc.
 • Experience in any of the domains: Infrastructure Services, Security, Retail, Digital Marketing, eCommerce, Health, Supply Chain, Banking 
 

Job Description:

equired Experience- 5 to 10yrs

Skills required - SAS

Work Experience :

- 5+ years of work experience developing risk models (Basel, IFRS9, CCAR Models)

- Sector knowledge and experience of working in the area of Credit Risk; ideally experience of working with Credit Risk data warehouses and Credit Risk models in particular including Operational, Capital and Impairment models.

Domain Experience :
Strong CCAR and DFAST, FRY-14A, SR-11/7 understanding. Strong regulatory understanding
3+ years of hands on CCAR model building experience
Strong conceptual and technical knowledge of risk concepts and quantitative modeling techniques including familiarity with statistical concepts used in stress testing Strong in quantitative skills – experience in model validation a plus
Experience in R, SAS, Matlab, advanced Excel techniques and VBA programming. SAS is preferred
Strong Experience in  building linear regression models, Nonlinear regression,  time series modeling (ARIMA, AR, VAR, MA ) and stochastic process
Strong organizational and interpersonal skills

- Expert knowledge of modern risk management techniques within Retail Banking, and in the use of risk models within such an environment.

- Experienced in the extraction and manipulation of data to support risk model development, including defining observation periods, outcome periods, choosing a suitable "bad" definition.

Education :

- A postgraduate degree in a numerate subject (e.g. mathematics, statistics, operational research, economics or MBA) from a reputed institute with knowledge of advanced statistical and analytical techniques.

Tools & Certification :

- Experienced and competent in the use of statistical packages e.g. SAS (including dealing with large datasets) and model development environments.

Job Description:

Job Opportunity with Leading Global Financial Institute:

Purpose of Department:

Data, Decision Systems and Credit Bureau unit under Credit Control Services is an integrated team which is mainly responsible for the delivery and support of the risk management tools, systems and data across HSBC. The team also serves as a Decision Center of Excellence for multiple Account Originations/Management risk systems along with the custodians of Global collections data. Within Credit Bureau, core functions include customer dispute analysis and resolution, business reporting, credit bureau data quality and validations, process improvement, process documentation, providing consulting, guidance and working in close collaboration with business, operations and Information Technology teams.

Job Description:
• Building and maintain the capability at GSC India to support global bureau relationships for RBWM
• Work collaboratively with the Business partners, IT and other related department(s) to support all Credit Bureau Initiatives including but not limited to: handling data quality, managing customer dispute analysis and resolution, remediation, data validation, reporting & MI, invoice & cost management, regulatory mandate implementation, managing the SME knowledge and creating central data dictionaries for various bureau across the globe.
• Provide support to the entire central team and regional counterparts for the credit bureau initiatives
• Manage in-house Reporting/Dashboards
• Participate on projects geared to improve process and technology for advancement of capabilities for credit bureau area.
• Very good people management and Stake holder management
• Take personal responsibility for surfacing and solving issues
• Develop recommendations for enhancement of processes
• Adhere strictly to compliance and operational risk controls in accordance with company and regulatory standards, policies and practices

Skills/Experience Required:
• Bachelors/Master’s degree in any of the discipline like Mathematics, Statistics, Economics, Finance, Computer Science from a reputed university
• Proven team management skills
• Demonstrated ability to meet critical time-sensitive objectives, emphasis on planning skills
• Excellent written and verbal communication skills with background in technical and business communications
• Excellent inter-personal skills, comfortable and successful establishing professional relationships
• Work experience in Banking Domain, preferable Credit Risk
• Very good organizational, project management, analytical, problem-solving and verbal/written communication skills.
• Preferably Credit Bureau operational knowledge with expertise on data quality, implementation, dispute management.

Job Description:

Job Opportunity with British multinational banking and financial services holding company: 

Purpose of Department:
Data, Decision Systems and Credit Bureau unit under credit control services is an integrated team which is mainly responsible for the delivery and support of the risk management tools, systems and data across HSBC. The team also serves as a Decisioning center of expertise for multiple Account Originations/Management risk systems along with the custodians of Global collections data. Within Credit Bureau, core functions include customer dispute analysis and resolution, business reporting, credit bureau data quality and validations, process improvement, process documentation, providing consulting, guidance and working in close collaboration with business, operations and Information Technology teams. 
The position is to support the HBME Credit Bureau function within RBWM Credit Control Services

Job Description:
> Work collaboratively with the Business partners, IT and other related department/s to support all credit bureau initiatives in terms of customer dispute analysis and resolution, data quality reporting and remediation, data validation, UAT, business reporting, mandate implementation etc.
> Provide consulting to the entire HBME region for the credit bureau initiatives.
> Manage in-house Reporting/Dashboards.
> Periodically participate on projects geared to improve process and technology to advance capabilities in the HBME credit bureau area.
> Take personal responsibility for surfacing and solving issues.
> Develop recommendations for enhancement of processes.
> Adhere strictly to compliance and operational risk controls in accordance with company and regulatory standards, policies and practices.

Skills/Experience Required:
> Bachelors/Master’s degree in any of the discipline like Mathematics, Statistics, Economics, Finance, Computer Science from a reputed university
> Proficient knowledge of SAS (base & advanced), MS Office suite.
> Preferably Credit Bureau operational knowledge with expertise on data quality, implementation, dispute management.
> Excellent written and verbal communication skills with background in technical and business communications
> Excellent inter-personal skills, comfortable and successful establishing professional relationships
• Work experience in Banking Domain
> Demonstrated ability to meet critical time-sensitive objectives, emphasis on planning skills
> Good organizational, project management, analytical, problem-solving and verbal/written communication skills.
> However, Role Holders candidates must be prepared to stay longer to meet business requirements.

Job Description:

Job Opportunity with British multinational banking and financial services holding company.

Purpose of Department:
Data and Decision Systems under credit control services is an integrated team which is mainly responsible for the delivery and support of the risk management tools, systems and data across HSBC.  The team also serves as a Decisioning center of expertise for multiple Account Originations/Management risk systems along with the custodians of Global collections data.
Retail Data and Decision Systems group facilitates the deployment of account originations and management strategies through the FIM approved decisioning tools. The team would need to interface heavily between the Information technology team and the end users. Additionally, the team would also acts as the originator of collections data for the entire group.
The core functions include strategy deployment, data validations, process improvement, system documentation, providing consulting, guidance and delivering comprehensive risk management platforms to support risk management intelligence, analytics, MI generation, and ETL along with data management. 
The position is to support the Retail Data and Decision Systems Account Management and origination’s function within the Data and Decision Systems team. 

Job Description

• Work collaboratively with the Business partners to develop, deploy and monitor the Account Management and origination’s strategies. The strategies are deployed through FICO TRIAD and Experian SMg3/Power Curve.
• Provide consulting for the Account origination and management decisioning tools
• Suggest pro-active solutions to the issues/incidents reported on the Account Management/Origination tools
• Manage and drive strategic projects in the Account management and origination’s portfolio. The projects would need to be driven end-to-end right from the conceptualization of the requirements, monitoring the budget, communication with the different stake holders, participation in the UAT and providing post implementation support
• Manage in-house Reporting/Dashboards
• Periodically participate on projects geared to improve process and technology to advance capabilities in the decisioning aspect of Account Management and originations.
• Take personal responsibility for surfacing and solving issues
• Prepare presentations and develop recommendations for processes
• Adhere strictly to compliance and operational risk controls in accordance with company and regulatory standards, policies and practices.

Skills/Experience Required
• Bachelor’s/Master’s degree in any of the discipline like Mathematics, Statistics, Economics, Finance, Computer Science from a reputed university
• Over all 8+ years of experience in BFS industry
• Good experience in decision systems
• Exposure to decision tools like Experian SMg3/Power Curve etc. would be preferred
• Must have work experience in the Business Financial services industry
• Excellent coding and testing skills
• Excellent written and verbal communication skills with background in technical and business 
communications
• Excellent inter-personal skills, comfortable and successful establishing professional relationships
• Proven mentoring skills
• Demonstrated ability to meet critical time-sensitive objectives, emphasis on planning skills
• Good organizational, project management, analytical, problem-solving and verbal/written communication skills.
• Good knowledge of MS Office would be an added advantage

Job Description:

Job Opportunit with a Leading Global management consulting and professional services firm that provides strategy, consulting, digital, technology and operations services

Overview:
Accenture’s Artificial Intelligence team focuses on getting machines to do things that we would call intelligent behavior. Intelligence – whether artificial or otherwise – does not have a precise definition, but there are many activities and behaviors that are considered intelligent when exhibited by humans and animals. Examples include seeing, learning, using tools, understanding human speech, reasoning, making good guesses, playing games, and formulating plans and objectives. AI team in Accenture Operations focuses on how to get machines or computers to perform these same kinds of activities, though not necessarily in the same way that humans might do them.
We are looking for an exceptional hands-on research scientist with a proven track record of experience in applying machine learning methods towards solving real-world problems through Knowledge Representation & Reasoning (KRR), Speech Recognition, (Un)supervised Learning, Reinforcement Learning to name a few. You will be joining a world-class, multidisciplinary team and will be participating in cutting-edge research in machine intelligence and artificial intelligence. You will be providing quality answers to large-scale problems with broad impact.

Responsibilities:
• Develop transformative AI solutions to address our clients’ business requirements and challenges
• Understand latest industrial and academic developments in AI/ML, application in diverse domains and user experience for next generation devices and create prototypes for demonstration.
• Conceptualize, Design, build and develop proto types which demonstrate the required functionality rapidly
• Collect, synthesize, and propose requirements and create effective product/feature roadmap.
• Work with development teams to mature these algorithms into production quality programs
• Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers

Desired candidate profile:
• Post graduate or PhD in relevant field and hand-on experience in AI research or application development
• Exceptional hands-on research scientist with a proven track record of experience in applying machine learning methods towards solving real-world problems
• Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods
• Experience in artificial intelligence and its practical application to the creation of interactive systems, with specific emphasis in two or more of the following areas: Sequence tagging, Intent classification, Information extraction and Reinforced learning

Basic Qualifications:
o A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU
o Good knowledge in latest AI system design and architecture.
o Experience in development of end-to-end AI based products
o Should have experience or deep know-how in two or more of speech recognition, ontologies, terminologies, graph databases, knowledge graphs (e.g., RDF, SPARQL, OWL), and related information integration; propositional logic, first-order logic, and constraint satisfaction methods; methods for uncertainty in combination with logical methods (e.g., Bayesian, probabilistic soft logic); combination of the foregoing with natural language, e.g., in knowledge authoring/debugging and explanation; combination of the foregoing with machine learning, e.g., in knowledge acquisition; HMMs 
o Excellent understanding of complex system architecture, components and requirements.
o Experience with Knowledge representation and reasoning and related semantic technologies, knowledge modeling/authoring and management, including:  Prolog, logic programming, and Rulelog methods; other business rules methods such as production rules, Drools/JBoss, event-condition-action rules.
o Very good python programming skills. Java programming skills a bonus 
o Detailed oriented and penchant for data quality control
o Experience in deploying state-of-the-art, data-driven learning algorithms to solve business problems
o Ability to Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches
• Is Self-Driven individual contributor who prefers working in an agile manner.
• Demonstrated ability to take bold initiatives, ability to solve hard problems, prioritize work and make decisions
• Ability to work independently and have ownership mentality
• Experience working with large data sets, familiarity/experience working with distributed computing tools a plus
• Innovation minded, highly capable to think systematically, capable to redefine the solutions to overcome the competitors and solving problems.
• Curious and willing to challenge existing solutions with innovative technology concepts.

Job Description:

Job Opportunity with an Indian multinational information technology service, consulting company

Must Have Skills:
o    Exposure to scripting and automation such as PowerShell, R, Python
o    Understanding how to analyze, cleanse, join and transform data.
o    Experience with ETL and/or data integration tools ( eg. Informatica, SSIS, Talend, MuleSoft, Dell Boomi etc…)
o    Experience in designing solutions using databases and data storage technology such as RDBMS, NoSQL, MongoDB, Hadoop, Cassandra etc.
o    Experience of working in at least one of the public cloud platform such as Azure, AWS, Google Cloud and using IaaS / PaaS / SaaS components in building highly scalable solutions
o    Implementing designed / specified solutions into the chosen platform (e.g. Azure Data Factories / Data Lakes, HDInsight or traditional software).

Desired/Should Have Skills:
o    Experience of designing solutions deployed on Microsoft and Linux operating systems
o    Be up to date with data processing technology / platforms such as Spark, PowerBI, and Tableau.
o    Good understanding of infrastructure components and their fit in different types of data solutions

Job Description:

Job title: 

Location: 

Experience:

Responsibilities:
 Responsible for all phases of model development for PPNR models (fees, deposits, loan etc.) including model and methodology design, exploratory data analysis, model selection, testing, implementation, documentation, and ongoing monitoring. Acts as point of contact for PPNR models with regulators, Audit Services, and other independent reviewers.
 Responsible for direct interaction with various committees and/or senior management. Ensures that PPNR model projections meet both internal corporate needs and regulatory requirements.
 Ensures regular production of high quality analytical work for self and leads all activities of a small team of risk analytics professionals. Trains junior staff on model development, recalibration, monitoring and implementation of models.
 Acts as subject matter expert, providing comprehensive, in-depth consulting and leadership to team and partners. Resolves complex issues in PPNR modelling, risk quantification, risk modelling methodologies, and other aspects of risk measurement to enhance overall risk framework.
 Works with senior team members to evaluate existing processes in relation to corporate objectives and industry practice. Assesses development needs and manages processes to achieve desired future state.
 Works with other Risk teams to ensure that risk management policies/processes and quantitative modelling approaches are consistent. Contributes to communication and training efforts to promote understanding of risk management throughout the company.
 Operates independently; has in-depth knowledge of business unit / function, balance sheet and income statements.

Qualification:
 Ph.D. or Master in Statistics/ Economics/Mathematics/advanced degree in quantitative area
 Or B.tech. from tier 1 college with MBA in related field

Skills Required:
 Experience in R, SAS, Matlab, advanced Excel techniques and VBA programming. SAS is must.
 Strong experience in model building using linear regression models, nonlinear regression,  time series approaches (ARIMAX, AR, VAR, MA ), or similar technique.
 Strong organizational and interpersonal skills.
 Excellent verbal and written communication skills (English).
 Experience of working in a multi-cultural and global environment.
 Related Industry qualification (e.g., CFA, FRM) a plus