Gurugram Haryana Quantitative analyst Jobs – 138 Open Jobs Today

Analyst-Data Analytics (Python, SQL, Gen AI)
American Express —Gurugram, Haryana
- Full-time
- Doctoral degree
- Engineering
- Master's degree
6h
Senior Associate, Org CoE (Data Engineer)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Databases
- SQL
Quick apply
Financial Plan & Analysis Specialist
Accenture —Gurugram, Haryana
- Full-time
- Bachelor's degree
- GAAP
- Communication skills
2d
Profit Enhancement Specialist
Essex Lake Group —Gurugram, Haryana
- Full-time
- Master's degree
- Machine learning
- Team management
Quick apply
10d
Analyst-Data Science
American Express —Gurugram, Haryana
- Full-time
- Master's degree
- SQL
- Analysis skills
2d
Assistant Manager
EXL Service —Gurugram, Haryana
- Full-time
- Azure
- Master's degree
- AWS
14d
1985103-Manager
EXL Service —Gurugram, Haryana
- Full-time
- Master's degree
- SQL
- Machine learning
Research Analyst
GREEN GAIN FINANCIAL SERVICES LLP —Dwarka, Delhi, Delhi
- ₹4,500 - ₹10,000 a month
- Full-time
- Microsoft Excel
- Data analysis skills
- Research
Quick apply
2d
Associate Analyst
PRS Legislative Research —Mandhela Kalan, Delhi
- Email
- Analysis skills
- Bachelor's degree
- Travel
Assistant Director- Delivery Ops
Acuity Knowledge Partners —Gurugram, Haryana
- Microsoft Powerpoint
- Master's degree
- MBA
Senior Analyst-Data Science
American Express —Gurugram, Haryana
- Full-time
- Doctoral degree
- Computer Science
- Research
3d
S&C - GN - SC&E - Fulfillment - Consultant
Accenture —Gurugram, Haryana
- Full-time
- Oracle
- Sales
- Master's degree
S&C Global Network - AI - Procurement Supply Chain Analytics - Manager
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Engineering
- Master's degree
Executive/Assistant Manager - Full Stack Engineer
Macquarie Group Limited —Gurugram, Haryana
- Full-time
- Remote
- Java
- SQL
- AWS
- Health insurance
- Paid time off
4d
Senior Sales Analyt Senior Specialist – Sales Performance Reporting & Analytics Specialist
NTT DATA —Gurugram, Haryana
- Full-time
- Microsoft Excel
- Sales
- Data analysis skills
Energy Modelling Analyst
Aurora Energy Research —Gurugram, Haryana
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- English
Senior.Analyst-Data Science (SQL, Python, Gen AI)
American Express —Gurugram, Haryana
- Full-time
- Master's degree
- SQL
- Analysis skills
3d
Commercial Leader
Lenskart Solutions —Gurugram, Haryana
- Full-time
- Engineering
- Master's degree
- Bachelor's degree
Associate - Data Scientist ( Consumer Products AI)
Bain & Co. —Gurugram, Haryana
- Full-time
- Computer Science
- Master's degree
- SQL
Quick apply
Account Manager – Communications Analytics
Burson Global —Gurugram, Haryana
- Hybrid work
- Communication skills
- Analytics

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Analyst-Data Analytics (Python, SQL, Gen AI)

American Express -
Gurugram, Haryana

Apply Now

Job details

Full-time
6 hours ago

Qualifications

Economics
Doctoral degree
Big data
Engineering
Apache Hive
Master's degree
SQL
Analysis skills
Bachelor's degree
Machine learning
Scala
Data science
AI
Communication skills
Python
Analytics

Full job description

The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing– is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization. The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth.

This Analyst (Band 30) role would be based in Gurgaon, IN and would be focused on driving sentinel Analytics spanning across channels and product offerings from Amex. The incumbent will be responsible for driving innovative analytical solutions and strategies that helps in gaming prevention thereby driving profitable acquisitions for the commercial business. S/he will be challenged with designing and creating world class prospect marketing analytics by leveraging machine learning and advanced methodologies.

A very important focus for the role shall be leveraging data science, quantitatively determining the value, deriving insights, and then assuring the insights are leveraged to create positive impact that cause a meaningful difference to the business.

Bachelor's in engineering or Master’s degree in a quantitative field (e.g., Statistics, Engineering, Physics, Mathematics and Economics) or PhD is required.
Hands on exposure to data science tools & techniques such as Big Data, PySpark, Hive, Scala, Python is required.
Ability to learn and quickly adapt around ever evolving analytics landscape is preferred.
Proficiency & experience in applying cutting edge statistical and machine learning techniques to business problems and leverage external thinking (from academia and/or other industries) to develop best in class data science solutions.
Strong communication and interpersonal skills, and ability to build and retain strong working relationships.
Strong analytical/conceptual thinking acumen to solve business problems and articulate key findings to senior leaders/stakeholders in a succinct and concise manner.
Ability to project-manage effectively, manage several concurrent projects through collaboration across teams/geographies.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Apply Now

Refine Your Search

quantitative analyst jobs in gurugram haryana

Analyst-Data Analytics (Python, SQL, Gen AI)

Senior Associate, Org CoE (Data Engineer)

Financial Plan & Analysis Specialist

Profit Enhancement Specialist

Analyst-Data Science

Assistant Manager

1985103-Manager

Research Analyst

Associate Analyst

Assistant Director- Delivery Ops

Senior Analyst-Data Science

S&C - GN - SC&E - Fulfillment - Consultant

S&C Global Network - AI - Procurement Supply Chain Analytics - Manager

Executive/Assistant Manager - Full Stack Engineer

Senior Sales Analyt Senior Specialist – Sales Performance Reporting & Analytics Specialist

Energy Modelling Analyst

Senior.Analyst-Data Science (SQL, Python, Gen AI)

Commercial Leader

Associate - Data Scientist ( Consumer Products AI)

Account Manager – Communications Analytics

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