HDFC Off Campus Recruitment Drive 2022 | HDFC
Fresher Recruitment 2022 | Hiring Freshers as Data Engineer - BTech/B.E
Freshers | Mumbai/Bangalore/Pune/Delhi
Must have skills: analytics,
python, predictive modeling, machine learning
Good to have skills: data
analysis, credit risk, risk modeling
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About the job
Job Responsibilities (JR): 6-8
Areas
Actionable (4-6)
Data Analysis
and Management
Data Analysis and
Management
- Scorecard Building and Modelling
- Data Analysis and Management
- Developing analytical models to assess risk
profile of a customer / identifying cross-sell opportunities/fraud control
for new and existing customers
- Performing Estimate probability of default arising out of
the scorecards and monitor deviation from expected default rates.
- Extraction Transformation Loading (ETL) of
required data from different source systems using multiple channels
(Python / SQL )
- Design, implement and continuously expand data
pipelines by performing ETL activities
- Gather requirements and business process
knowledge in order to transform data as per needs of end users
- Maintain and improve already existing processesMonitor portfolio and identify pockets of
opportunity for business growth and risk alerts to control NPAs.
Communicate these alerts to the respective owners and follow-up for
closure
- Formulating data cuts and strategies to
assess credit risk for new and existingand existing customers
of the Bank. Give feedback to stakeholders to improve the
usage of the modelsaccordingly.
- Responsible for development and deployment of
various scorecards / models for the credit risk / Retail asset products of
the Bank within the specified timelines. Ensure the deployment also is
line with Bank’s strategies so as to gain maximum efficiencies.
- Analyze results, identify patterns and trends
in data setsDevelop novel
approaches/algorithms in Risk modeling to constantly improve the
operational efficacy of current models and its impact to stake holders
- To adopt the latest trends wrt fintech
companies by applying the best-in-class financial models, risk strategiesDefining
new data collection and analysis processes
- To work on various aspects related to
automation of scorecards in Analytics domain.Ability to define, review
reports and analysis
- Explore data available within the Banks
ecosystem but not used currently to meet the above stated business
objectives
- Interest in – and familiarity with data
analysis and the ability to ‘slice and dice’ data.
- Reporting / Collaboration with Stakeholders
- Reporting results back to relevant stakeholders
- Commitment to creating high quality reports
with a clear focus on analysis that can drive action.
- Present ad-hoc reports as well as evaluate in
timely manner
- Documentation
- Creating appropriate documentation that allows
stakeholders to understand the steps of data analysis process and
duplicate or replicate the analysis if necessary.
- Explore data available within the Banks
ecosystem but not used currently to meet the above stated business
objectives
- Innovation
- Thinking, evolving and making significant
changes in the processes, techniques, methods so as to save time, energy
and money.
- Any other assignments depending on the needs of
the organization
Educational
Qualifications
Key Skills
1.
MCA/MTech/MSc
Statistics or Economics/BTech/Bsc/MscMBA or equivalent in Computer
science/Statistics or related areas with strong inclination towards machine
learning algorithms is preferred
- Excellent problem solving capabilities with
strong fundamentals in computer science
- Strong technical & analytical skills
- Hands-on experience in data wrangling (ETL),
feature engineering, building and deploying scalable machine learning
algorithms
- Strong written and verbal communication skills
- Excellent knowledge of current trends in the
field of machine learningdata analytics/business analytics
field
Experience Required
- Experience of 2+ years in role of business analyticst/data
analyst/predictive modeling/machine learning
- Experience of 2+ years in SQL/Python/R
in building, maintaining as well as deploying scalable data
pipelines analytics based models
- Exposure to banking preferable
Major Stakeholders (intra team
and cross functional stakeholders, who would need to be interacted with for
discharging duties)
- PolicyCredit Policy
- Underwriting
- Process
- Fraud Control
- Product
- Credit Bureaus
- Third Party Analytics Service Providers
- IT
- Legal
- Information Security
- Sales Team
Industry type: Banking
Functional area: Data Science
& Analytics
Role: Data Engineer
Role category: Data Science
& Machine Learning
Employment type: Full Time,
Permanent
Education: B.Tech/B.E. in Any
Specialization
About the company
HDFC Bank Ltd was promoted in
the year 1994 by the premier housing finance company of the country, HDFC Ltd.
The Bank commenced operations as a Scheduled Commercial Bank in January 1995.
Today the Bank has a nationwide network of over 2000 branches and 5624 ATMs
spread over 996 towns and cities across India The Banks American Depository
Shares (ADS) are listed on the New York Stock Exchange (NYSE) and the Global
Depository Receipts (GDRs) are listed on Luxembourg Stock Exchange. The Bank
has been bestowed with numerous awards and accolades from top national and
international agencies & magazines. HDFC Bank comprises of a dynamic and
enthusiastic team determined to accomplish the vision of becoming a World-class
Indian bank. Our business philosophy is based on our four core values -
Customer Focus, Operational Excellence, Product Leadership and People. We
believe that the ultimate identity and success of our bank will reside in the
exceptional quality of our people and their extraordinary efforts. We are
committed to hiring, developing, motivating and retaining the best people in
the industry The Bank’s objective is to build sound business franchises across
distinct businesses so as to be a preferred provider of banking services for
target retail and wholesale customer segments. We are committed to healthy
growth in profitability while ensuring the highest levels of ethical standards,
professional integrity, corporate governance and regulatory compliance.
Headquarters: HDFC BANK HOUSE, SENAPATI
BAPAT MARG,LOWER PAREL, MUMBAI, Maharashtra, India
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