Data analytics-Internal audit

Quant Research, TIFIN

Mumbai, India

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

●     Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.

●     Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.

●     I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

WHAT YOU'LL BE DOING:

We are looking for an experienced quantitative professional to develop, implement, test, and maintain the core algorithms and R&D framework for our Investment and investment advisory platform. The ideal candidate for this role has successfully implemented and maintained quantitative and statistical modules using modular software design constructs. The candidate needs to be a responsible product owner, a problem solver and a team player looking to make a significant impact on a fast-growing company. The successful candidate will directly report to the Head of Quant Research & Development.

RESPONSIBILITIES:

• The end-to-end research, development, and maintenance of investment platform, data and algorithms
• Take part in building out the R&D back testing and simulation engines
• Thoroughly vet investment algorithmic results 
• Contribute to the research data platform design
• Investigate datasets for use in new or existing algorithms
• Participate in agile development practices
• Liaise with stakeholders to gather & understand the functional requirements
• Take part in code reviews ensuring quality meets highest level of standards
• Develop software using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live
• Support research innovation through the creative and aggressive experimentation of cutting-edge hardware, software, processes, procedures, and methods
• Collaborate with technology teams to ensure appropriate requirements, standards, and integration

REQUIREMENTS:

• Experience in a quant research & development role
• Proficient in Python, Git and Jira
• Knowledge in SQL and database development (PostgreSQL is a plus)
• Understanding of R and RMarkdown is a plus
• Bachelor’s degree in computer science, computational mathematics, or financial engineering 
• Master’s degree or advanced training is a strong plus
• Excellent mathematical foundation and hands-on experience working in the finance industry
• Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc.
• Strong communication (written and oral) and analytical problem-solving skills
• Strong sense of attention to detail, pride in delivering high quality work and willingness to learn
• An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.)

BENEFITS PACKAGE:

TIFIN offers a competitive benefits package that includes:

· Performance-linked variable compensation.

· Medical insurance

· Tax saving benefits

· Flexible PTO policy and Company-paid holidays

· Parental Leave: 6 month paid maternity, 2 week paid paternity leave

· Access to our Wellness trainers, including 1:1 personal coaching

for executives and rising stars

A note on location. While we have team centres in Boulder, New York City, San Francisco, Charlotte, and Bangalore,this role is based out of Mumbai.  

TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

About the company:

VakilSearch is a technology-driven platform, offering services that cover the legal needs of startups and established businesses. Some of our services include incorporation, government registrations & filings, accounting, documentation and annual compliances. In addition, we offer a wide range of services to individuals, such as property agreements and tax filings. Our mission is to provide one-click access to individuals and businesses for all their legal and professional needs.

You can learn more about us at https://vakilsearch.com/">vakilsearch.com.

About the role:

A successful data analyst needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management can serve as a solid foundation to build your career as a data analyst at VakilSearch.

Why to join Vakilsearch:

• Unlimited opportunities to grow
• Flat hierarchy
• Encouraging environment to unleash your out of box thinking skills

Responsibilities:

• Preparing reports for the stakeholders and the management, enabling them to take important decisions based on various facts and trends.
• Using automated tools to extract data from primary and secondary sources
• Identify and recommend the right product metrics to be analysed and tracked for every feature/problem statement.
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

Required skills:

• Bachelor’s degree from an accredited university or college in computer science or graduate from data science related program
• Minimum of 0 - 2 years experience in analysing

Senior Director – Strategy (Data & Analytics)

The client is a leading media agency who drive more strategic, creative and integrated media approach established to drive better business results. Their team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to their client's business.

Responsibilities of the role:

We are looking for a talented Director to join our leadership team and manage the delivery of data engineering projects . In this role, you will be responsible to manage a team of highly skilled engineers, scientists and analysts to deliver data-driven solutions to exceed client goals. 

 As the Director, Data and Analytics, you will work with the agency and client to enable the data and tech solutions that lay the foundation for executing brand & performance marketing. 

• Set the vision, strategy, and roadmap to deliver cutting edge data, technology and analytics solutions across a portfolio of clients .
• Become a trusted advisor to clients and consult on growth opportunities and identify new way to use data to solve business challenges and support growth, 
• Support development and deployment of products and services across multiple cloud environments 
• Collaborate with a cross-functional team of client leads, application developers, operations engineers, and architects to translate complex product requirements into technical specs and design requirements 
• Act as a consultant and subject matter expert for internal stakeholders in GroupM Data & Analytics, GroupM Engineering and agency data science and tech leads 
• Build & manage a team of experts in Data Strategy, Measurement/Business Analysts, Advanced Analytics, and Marketing Technology specialists to deliver best in class audience, measurement strategy in collaboration with Client, Strategy, and Investment teams. 

What you will need:

·      7+ years of experience in data analytics / quantitative research

• Proven thought-leadership, and a deep understanding of the data and technology issues facing the marketing industry
• Experience building, managing and inspiring large and diverse teams of data and technology specialists
• A proven track record in working with a diverse array of clients to solve complex problems and delivering demonstrable business success. Including (but not limited to) the development of compelling and sophisticated data strategies and AdTech / martech strategies to enable marketing objectives.

·      Master’s or Bachelor’s in Statistics, Mathematics or related quantitative field

Brief:

As a BI Developer at GradRight, you’ll be working with Tableau and supporting data sources to build reports for the requirements of various business teams.

Responsibilities:

1. Translate business needs to technical specifications for reports and dashboards
2. Design, build and deploy BI solutions
3. Maintain and support data analytics platforms (e.g. Tableau, Mixpanel, Google Analytics, etc)
4. Evaluate and improve existing BI systems
5. Collaborate with teams to integrate systems
6. Develop and execute database queries, conduct analysis and prepare data to be shared with respective stakeholders
7. Create visualizations and reports for requested projects
8. Develop and update technical documentation around reports

Requirements:

1. At least 3 years of proven experience as a BI Developer
2. Experience at a startup
3. Background in data warehouse design (e.g. dimensional modeling) and data mining
4. In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
5. Working knowledge of Tableau
6. Knowledge of SQL queries and MongoDB
7. Proven abilities to take initiative and be innovative
8. Analytical mind with a problem-solving aptitude

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

• 3+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd and streaming databases like druid
• Strong industry expertise with containerization technologies including kubernetes, docker-compose
• 2+ years of industry in experience in developing scalable data ingestion processes and ETLs
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• Experience with scripting languages. Python experience highly desirable.
• 2+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Demonstrated expertise of building cloud native applications
• Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
• Experience in API development using Swagger
• Strong expertise with containerization technologies including kubernetes, docker-compose
• Experience with cloud platform services such as AWS, Azure or GCP.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

• Design and Implement Large scale data processing pipelines using Kafka, Fluentd and Druid
• Assist in dev ops operations
• Develop data ingestion processes and ETLs
• Design and Implement APIs
• Assist in dev ops operations
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

Role Summary

We Are looking for an analytically inclined, Insights Driven Product Analyst to make our organisation more data driven. In this role you will be responsible for creating dashboards to drive insights for product and business teams. Be it Day to Day decisions as well as long term impact assessment, Measuring the Efficacy of different products or certain teams, You'll be Empowering each of them. The growing nature of the team will require you to be in touch with all of the teams at upgrad. Are you the "Go-To" person everyone looks at for getting Data, Then this role is for you.

Roles & Responsibilities

• Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and provide insights/recommendations based on analysis results
• Build, maintain, own and communicate detailed reports to assist Marketing, Growth/Learning Experience and Other Business/Executive Teams
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Analyze data and generate insights in the form of user analysis, user segmentation, performance reports, etc.
• Facilitate review sessions with management, business users and other team members
• Design and create visualizations to present actionable insights related to data sets and business questions at hand
• Develop intelligent models around channel performance, user profiling, and personalization

Skills Required

• Having 4-6 yrs hands-on experience with Product related analytics and reporting
• Experience with building dashboards in Tableau or other data visualization tools such as D3
• Strong data, statistics, and analytical skills with a good grasp of SQL.
• Programming experience in Python is must
• Comfortable managing large data sets
• Good Excel/data management skills