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Subramanya Nagar

Bengaluru

Lingarajapuram

What You’ll Do,

You will work directly as part of AA CoE and be a part of analytics focused projects across
statistics, optimization &amp; simulations, machine learning and Big Data. Your role will involve
design and implementation of advanced statistical analysis and machine learning algorithms to
derive business insights and solve complex business problems. This includes gathering and
analyzing information, formulating and testing hypotheses, and developing and communicating
recommendations. You may also be responsible for presenting results to management and
implementing recommendations with team members.
You’ll have the opportunity to gain new skills and build on the strengths you bring to the
company.

Main task:

 Design and implement machine-learning models to support the business’s numerous
initiatives and programs with a view of achieving overall objectives and targets
 Successful documentation of reusable code
 Achieve personal technical development and learning goals
 Conduct knowledge sharing sessions internally within the CoE as well as externally in
meetups, conferences etc. Participate in and help plan cultural initiatives for CoE
Qualifications
 University degree in Computer Science, Engineering, Applied Mathematics or related
fields and excellent academic record required; Master’s degree in above mentioned
subjects preferred
 2-3 years of technical experience in handling large datasets and applying advanced
statistical and machine learning algorithms
 Hand-on experience in methodologies such as: Supervised and Unsupervised Learning,
Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time
Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer
Vision, NLP, Interpretable AI, etc.
 Proficiency with at least one of the following languages: R, Python, SAS and experience
of working with SQL/NoSQL databases
 Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc.
 Stakeholder management skills with ability to communicate and work with senior
management effectively
 Skills to communicate complex ideas effectively


Data Scientist

Job Description:

We are seeking an experienced Data Engineer to join our dynamic team. The ideal candidate
will be responsible for designing, developing, and maintaining scalable data pipelines and
infrastructure for both batch and real-time data processing. You will collaborate closely with
cross-functional teams including data scientists, analysts, and product managers to understand
data requirements and deliver robust solutions that meet business needs.

Responsibilities:

• Design, build, and maintain efficient and reliable data pipelines to move and
transform data across multiple systems.
• Implement data integrations, ETL processes, and data warehouse solutions.
• Develop and optimize data models for flexibility and scalability.
• Collaborate with stakeholders to understand data requirements and propose optimal
solutions.
• Ensure data quality and reliability through monitoring, testing, and validation.
• Troubleshoot data-related issues and performance bottlenecks.
• Stay current with emerging technologies and industry trends related to data
engineering and analytics.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent
practical experience.
• 5+ years of experience in data engineering roles, with a proven track record of
designing and implementing complex data solutions.
• Proficiency in programming languages such as Python, Java, Scala, etc.
• Experience with big data technologies (Hadoop, Spark, Kafka, etc.) and cloud
platforms (AWS, Azure, GCP).
• Strong SQL skills and experience working with relational databases and data
warehouses (e.g., MySQL, PostgreSQL, Redshift).
• Familiarity with data pipeline orchestration tools (Airflow, Luigi, etc.) and version
control systems (Git, SVN, etc.).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills; ability to work effectively in a team
environment.

Preferred Qualifications:

• Master’s degree in Computer Science, Engineering, or related technical field.
• Experience with containerization (Docker, Kubernetes) and microservices
architecture.
• Knowledge of machine learning and data science concepts.
• Certifications in relevant technologies (AWS Certified Big Data - Specialty, Google
Professional Data Engineer, etc.).


Data Engineer

Lingarajapura Bridge

Having vast experience in Credit Industry and having 8+ years of experience . 


Cluster Credit Manager

Santoshi Mata Chowk

Mariaai Gate

dentify and pursue new business opportunities
Build and maintain client relationships
Develop and execute sales and growth strategies
Conduct market and competitor research
Prepare and deliver pitches and proposals
Negotiate deals and close sales
Collaborate with internal teams (sales, marketing, product)
Track performance and report on sales results


Business Development Manager (BDM)

I.I.T.Main Gate

Mumbai

Jagat Satguru Industrial Colony

Identify and pursue new business opportunities
Build and maintain client relationships
Develop and execute sales and growth strategies
Conduct market and competitor research
Prepare and deliver pitches and proposals
Negotiate deals and close sales
Collaborate with internal teams (sales, marketing, product)
Track performance and report on sales results


Thane Station (East)

Yeshwanthpura

Key Requirement:
 Knowledge of Unsecured Lending process specifically Personal Loans.
 Experience of executing local campaigns and marketing activity.
 Display strong understanding of the Local Market.
 Channel Partner Management / Branch Lead Management
 Relationship Management with all stakeholders.
 To handle / coordinate for pre and post disbursement activities.
 Ability to comprehend risk inherent to customer business.
 Prompt resolution of customer complaints.
 Ensuring portfolio quality.
 Team Hiring and Training.
Required Experience:
 1 to 5 Years of Job Experience.
Education Qualification:
 Graduate – Preferably MBA.


Key Responsibilities:
Conduct routine and surprise audits across assigned branches of Muthoot Finance.
Verify branch cash, gold loan documents, customer KYC records, and security protocols.
Review adherence to regulatory guidelines, internal policies, and operational procedures.
Identify discrepancies, irregularities, and areas of non-compliance.
Prepare and submit audit reports with findings, observations, and corrective recommendations.
Follow up on implementation of corrective actions by branch teams.
Assist in assessing operational risks and suggesting process improvements.
Support internal audit team in special investigations whenever required.
Required Qualifications:Bachelor’s degree in Commerce, Finance, Accounting, or related field.
1–3 years of experience in internal audit, banking, NBFC, or financial services preferred.
Basic understanding of gold loan operations, financial processes, and regulatory compliance (preferred but not mandatory).
Skills & Competencies:Strong analytical and observation skills.
Good knowledge of MS Office (Excel, Word).
Ability to prepare clear and concise audit reports.
High integrity, professionalism, and attention to detail.
Good communication and interpersonal skills.
Willingness to travel extensively for branch audits.



Audit Executive (Malayalam Preferred)

We are looking for a Training manager with a good handson experience in sales , training need analysis , GAP Analysis , induction , process , systems and can learn quickly and adapt to different working environments . 


Training Manager

College Square

Kolkata

Ramrajatala

Key Requirement:

Manage a team handling sales of Personal Loans & Unsecured loans.
Achieve monthly targets through effective lead generation, conversion, and relationship management with customers.
Identify new business opportunities and develop strategies to grow revenue streams.
Collaborate with cross-functional teams to resolve customer queries and issues promptly.
Analyse market trends, competitor activity, and regulatory changes to stay ahead in the competition.




Sales Manager

M.E.S. Pumping Station

Gandhi Nagar Mod

C-Scheme

Keshari Nagar

Chintamanishwar

Develop and execute effective collections strategies for a diverse portfolio of loan products (e.g., personal loans, business loans).

Lead, train, and manage a team of collections executives to achieve individual and team recovery targets.

Monitor and analyze collections data to identify trends, predict non-performing assets (NPAs), and optimize recovery processes.

Ensure all collections activities adhere to internal policies and regulatory guidelines set by the Reserve Bank of India (RBI) and other relevant authorities.

Handle complex or escalated collections cases, negotiating with customers to find viable repayment solutions.

Collaborate with the credit, legal, and risk teams to improve loan underwriting standards and resolve legal disputes.

Prepare and present detailed reports on collections performance, NPA status, and recovery rates to senior management.

Implement and manage collections software and tools to enhance efficiency and data accuracy.


Collection Manager

Rashtrapati Bhavan

Nehru Place

Job Description for Sales Manager- Business Loan

Key Requirement:

Manage a team handling sales of Personal Loans & Unsecured loans.
Achieve monthly targets through effective lead generation, conversion, and relationship management with customers.
Identify new business opportunities and develop strategies to grow revenue streams.
Collaborate with cross-functional teams to resolve customer queries and issues promptly.
Analyse market trends, competitor activity, and regulatory changes to stay ahead in the competition.




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Muthoot Finance Jobs - 174 Verified Vacancies

Data Scientist

Data Engineer

Cluster Credit Manager

Business Development Manager (BDM)

Business Development Manager (BDM)

Business Development Manager (BDM)

Business Development Manager (BDM)

Audit Executive (Malayalam Preferred)

Training Manager

Sales Manager

Sales Manager

Sales Manager

Collection Manager

Sales Manager