
Job description:
- Selecting features, building and optimizing classifiers using machine learning techniques
- Mining data as and when required
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- Efficient stakeholder management
Skills and Qualifications
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Experience with common data science toolkits.
- Great communication skills
- Experience with data visualisation tools
- Proficiency in using query languages such as SQL
- Good scripting and programming skills
- Data-oriented personality
- B.Tech, M.Tech, B.S., M.S., MBA
Requirement / Desired Skills
Data Scientist -- Data mining skills , SQL, Advanced ML Techniques, NLP (natural Language Processing)

About Angel One
About
We are Angel One (formerly known as Angel Broking). India's most trusted Fintech company and an all-in-One financial house. Founded in 1996 Angel One offers a world-class experience across all digital channels including web, trading software and mobile applications, to help make millions of Indians informed investment decisions.
Certified as a Great Place To Work for six-consecutive years, we are driven by technology and a mission to become the No. 1 fintech organization in India. With a 9.2 Million+ registered client base and more than 18+ million app downloads, we are onboarding more than 400,000 new users every month. We are working to build personalized financial journeys for customers via a single app, powered by new-age engineering tech and Machine Learning.
We are a group of self-driven, motivated individuals who enjoy taking ownership and believe in providing the best value for money to investors through innovative products and investment strategies. We apply and amplify design thinking with our products and solution.
It is a flat structure, with ample opportunity to showcase your talent and a growth path for engineers to the very top. We are remote-first, with people spread across Bangalore, Mumbai and UAE. Here are some of the perks that you'll enjoy as an Angelite,
- Work with world-class peer group from leading organizations
- Exciting, dynamic and agile work environment
- Freedom to ideate, innovate, express, solve and create customer experience through #Fintech & #ConsumerTech
- Cutting edge technology and Products / Digital Platforms of future
- Continuous learning interventions and upskilling
- Open culture to collaborate where failing fast is encouraged to invent new ways and methods, join our Failure Club to experience it
- 6-time certified as a Great Place To Work culture
- Highly competitive pay structures, one of the best
Come say Hello to ideas and goodbye to hierarchies at Angel One!
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Responsibilities:
- Design multi-tier Elasticsearch architecture (hot/warm/cold/frozen) with ILM.
- Architect Active-Active/Passive HA and DR across production and disaster recovery data centers.
- Define and implement observability standards, data schemas, naming conventions, and ILM policies per domain.
- Develop and manage ingestion pipelines using Logstash, Beats, and Elastic Agent
- Parse and enrich structured/unstructured logs; implement scalable and fault-tolerant pipelines.
- Deploy and configure Elastic APM agents for Java/.NET/Python services
- Ensure end-to-end distributed tracing, span enrichment, and service dependency mapping
- Optimize trace sampling, error logging, and business transaction visibility
- Design end-to-end observability solution using Elastic stack: log analytics, metrics, traces, APM, and ML.
- Integrate machine learning for anomaly detection.
- Oversee implementation of distributed tracing and service mapping. Ensure that every critical banking transaction can be traced end-to-end.
- Drive adoption of observability standards (SLOs/SLIs, tagging, dashboards).
we’d love to speak with you. Skills and Qualifications:
Strong experience with continuous integration/continuous deployment (CI/CD) pipeline tools such as Jenkins, TravisCI, or GitLab CI.
Proficiency in scripting languages such as Python, Bash, or Ruby.
Knowledge of infrastructure automation tools such as Ansible, Puppet, or Terraform.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of container orchestration tools such as Docker, Kubernetes, or OpenShift.
Experience with version control systems such as Git.
Familiarity with Agile methodologies and practices.
Understanding of networking concepts and principles.
Knowledge of database technologies such as MySQL, MongoDB, or PostgreSQL.
Good understanding of security and data protection principles.
Roles and responsibilities:
● Building and setting up new development tools and infrastructure
● Working on ways to automate and improve development and release processes
● Deploy updates and fixes
● Helping to ensure information security best practices
● Provide Level 2 technical support
● Perform root cause analysis for production errors
● Investigate and resolve technical issues
Competitive Salary
About Solidatus
At Solidatus, we empower organizations to connect and visualize their data relationships, making it easier to identify, access, and understand their data. Our metadata management technology helps businesses establish a sustainable data foundation, ensuring they meet regulatory requirements, drive digital transformation, and unlock valuable insights.
We’re experiencing rapid growth—backed by HSBC, Citi, and AlbionVC, we secured £14 million in Series A funding in 2021. Our achievements include recognition in the Deloitte UK Technology Fast 50, multiple A-Team Innovation Awards, and a top 1% place to work ranking from The FinancialTechnologist.
Now is an exciting time to join us as we expand internationally and continue shaping the future of data management.
About the Engineering Team
Engineering is the heart of Solidatus. Our team of world-class engineers, drawn from outstanding computer science and technical backgrounds, plays a critical role in crafting the powerful, elegant solutions that set us apart. We thrive on solving challenging visualization and data management problems, building technology that delights users and drives real-world impact for global enterprises.
As Solidatus expands its footprint, we are scaling our capabilities with a focus on building world-class connectors and integrations to extend the reach of our platform. Our engineers are trusted with the freedom to explore, innovate, and shape the product’s future — all while working in a collaborative, high-impact environment. Here, your code doesn’t just ship — it empowers some of the world's largest and most complex organizations to achieve their data ambitions.
Who We Are & What You’ll Do
Join our Data Integration team and help shape the way data flows!
Your Mission:
To expand and refine our suite of out-of-the-box integrations, using our powerful API and SDK to bring in metadata for visualisation from a vast range of sources including databases with diverse SQL dialects.
But that is just the beginning. At our core, we are problem-solvers and innovators. You’ll have the chance to:
Design
intuitive layouts
representing flow of data across complex deployments of diverse technologies
Design and optimize API connectivity and parsers reading from source systems metadata
Explore new paradigms for representing data lineage
Enhance our data ingestion capabilities to handle massive volumes of data
Dig deep into data challenges to build smarter, more scalable solutions
Beyond engineering, you’ll collaborate with users, troubleshoot tricky issues, streamline development workflows, and contribute to a culture of continuous improvement.
What We’re Looking For
- We don’t believe in sticking to a single tech stack just for the sake of it. We’re engineers first, and we pick the best tools for the job. More than ticking off a checklist, we value mindset, curiosity, and problem-solving skills.
- You’re quick to learn and love diving into new technologies
- You push for excellence and aren’t satisfied with “just okay”
- You can break down complex topics in a way that anyone can understand
- You should have 6–8 years of proven experience in developing, and delivering high-quality, scalable software solutions
- You should be a strong self-starter with the ability to take ownership of tasks and drive them to completion with minimal supervision.
- You should be able to mentor junior developers, perform code reviews, and ensure adherence to best practices in software engineering.
Tech & Skills We’d Love to See
Must-have:·
- Strong hands-on experience with Java, Spring Boot RESTful APIs, and Node.js
- Solid knowledge of databases, SQL dialects, and data structures
Nice-to-have:
- Experience with C#, ASP.NET Core, TypeScript, React.js, or similar frameworks
- Bonus points for data experience—we love data wizards
If you’re passionate about engineering high-impact solutions, playing with cutting- edge tech, and making data work smarter, we’d love to have you on board!
Developed in formal collaboration with the University of Cambridge in May 2000, HeyMath! is an Ed-Tech company whose mission is to Raise the Game in Maths for school systems around the world. We do this using technology to deliver engaging teaching methodologies and personalised learning paths for students. HeyMath! has been successfully adopted by CBSE schools since 2004, with positive outcomes for the entire ecosystem.
Check us out at www.heymath.com
We plan to work mainly from home in 2021 and the virtual office atmosphere is collegiate, informal and friendly, with small high-impact teams making a difference to customers.
What we are looking for:
Experience in building and re-engineering cloud based solutions on AWS.
Strong knowledge of Object Oriented Programming(OOPS) and design patterns is a must.
Hands-on development on Spring MVC framework.
Experience working on Java 8 or above.
Must have very good knowledge of RDBMS such as MySQL and performance tuning of the same.
Exposure to server-side and client-side caching mechanisms.
Ability to debug the applications and provide instant workable solutions.
Experience working on Elastic Search / Kafka / Kubernetes or all is a nice to have.
- Strong in both Core and Apps side.
- Strong in Apps DBA areas, R12.1, R12.2, Cloning, Patching, Multinode, DMZ, Troubleshooting, Concurrent Manager, Sysadmin Activities
- Strong in Core BDA areas , Architecture, Installation, Cloning, Patching, Performance Tuning, Standby , DG, RAC, OEM, Upgrade, Migration,Troubleshooting, Replication tool
- Should be flexible for timng
- Deep understanding of technologies and architecture for a scalable and highly available set-up
- Experienced in Java/Golang and related Technologies like Spring/Hibernate
- Strong networking and Operating Systems fundamentals
- Experienced in Streaming technologies like Kafka
- Experience working with SQL and NoSQL Databases
- Experienced in developing the long-term tech strategy for analytics and translate that into an achievable roadmap
- Manage sales operations in assigned district to achieve revenue goals.
- Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
- Identify skill gaps and conduct trainings to sales team.
- Work with team to implement new sales techniques to obtain profits.
- Assist in employee recruitment, promotion, retention and termination activities.
- Conduct employee performance evaluation and provide feedback for improvements.
- Contact potential customers and identify new business opportunities.
- Stay abreast with customer needs, market trends and competitors.
- Maintain clear and complete sales reports for management review.
- Build strong relationships with customers for business growth.
- Analyze sales performances and recommend improvements.
- Ensure that sales team follows company policies and procedures at all times.
- Develop promotional programs to increase sales and revenue.
- Plan and coordinate sales activities for assigned projects.
Role and Responsibilities
A Quantitative Strategist/Quantitative Trader profile at QuantX requires rigorous quantitative aptitude and go-get attitude.
- Deployment of quantitative models in Indian Equity and Derivatives markets to generate returns.
- Management of Quantitative Trading Programs.
- Data Analysis
Requirements
Education (Candidate should satisfy one of the following)
- B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
- Tech with good grades and strong quantitative aptitude
- CFA/FRM Level 1 cleared
- Any other degree with Financial Derivatives as a subject and through knowledge of Derivative Greeks (Portfolio Level, Risk Management, Hedging)
Skills
- Exceptional Quantitative Aptitude
- Psychological composure and Logical/Objective decision making
- Comfortable working on computer programs
Preferences
Following skill sets are not required but candidate will get preference if he/she possesses any of the following:
- Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
- MATLAB/R for Time series analysis
- Knowledge of AFL ( Amibroker Formula Language)
Advantages
- Steep learning curve
- Extensive training on mathematics of derivatives market
- Dynamic work environment(Everyday is different in its own way)
- Very small team and merit based growth
- Best in class Quarterly bonuses and revenue share post training period(where bonus can surpass the base salary)
Pay Structure
- Extensive training period(probation period) of 2 months(Stipend Paid during training period INR 10,000)
- Pay Structure post the training period:
Junior Trader:
Base Salary I + 5% of Revenue share
Senior Trader:
(Base Salary I + 27% hike) + 10% of Revenue Share
Working Hours
We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks
- Standard Market Hours
- Training Pre and Post market hours
- Our doors are open till the time you are working
Selection Process
- Quantitative Aptitude Test
- Psychometric Test
- Personal Interview
- Super Day (Hands on work on high paced advance programs)















