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.
Subodh Popalwar
Software Engineer, Memorres
About TIFIN FINTECH
TIFIN builds engaging experiences through powerful AI and investment-driven personalisation. We leverage the combined power of investment intelligence, data science, and technology to make investing a more engaging experience and a more powerful driver of financial well-being.
We hope to change the world of wealth in ways that personalised delivery has changed the world of movies, music and more. In a world where every individual is unique, we believe in the power of AI-based personalisation to match individuals to financial advice and investments is necessary to driving wealth goals.
At TIFIN, we build disruptive IP, not incremental innovation. We operate at high velocity with flexibility, enabled through our focus on stretch goals and action that is measurable. We experiment, learn and adjust in short sprints to find out targets. If you're passionate about transforming the investor experience and excited to grow on the edge of your comfort zone, come and join us!
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Join our team and help us build the world’s fastest and most reliable emergency response system using cutting-edge technology.
Because every second counts in an emergency, we are building systems and flows with 4 9s of reliability to ensure that our technology is always there when people need it the most. We are looking for distributed systems experts who can help us perfect the architecture behind our key design principles: scalability, reliability, programmability, and resiliency. Our system features a powerful dispatch engine that connects emergency service providers with patients in real-time
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● Develop data set processes
● Strong analytic skills related to working with unstructured datasets
● Evaluate business needs and objectives
● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
● Interpret trends and patterns
● Work with data and analytics experts to strive for greater functionality in our data system
● Build algorithms and prototypes
● Explore ways to enhance data quality and reliability
● Work with the Executive, Product, Data, and D esign teams, to assist with data-related technical issues and support their data infrastructure needs.
● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Key Requirements
● Proven experience as a data engineer, software developer, or similar of at least 3 years.
● Bachelor's / Master’s degree in data engineering, big data analytics, computer engineering, or related field.
● Experience with big data tools: Hadoop, Spark, Kafka, etc.
● Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
● Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
● Experience with Azure, AWS cloud services: EC2, EMR, RDS, Redshift
● Experience with BigQuery
● Experience with stream-processing systems: Storm, Spark-Streaming, etc.
● Experience with languages: Python, Java, C++, Scala, SQL, R, etc.
● Good hands-on with Hive, Presto.
Data Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
Skills and requirements
- Experience analyzing complex and varied data in a commercial or academic setting.
- Desire to solve new and complex problems every day.
- Excellent ability to communicate scientific results to both technical and non-technical team members.
Desirable
- A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
- Hands on experience on Python, Pyspark, SQL
- Hands on experience on building End to End Data Pipelines.
- Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
- Hands on Experience in building data pipelines.
- Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
- Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
- Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
- BS degree in math, statistics, computer science or equivalent technical field.
- Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
- Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
- Willing to learn and work on Data Science, ML, AI.
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
Must have experience in BFSC domain.
Exp- Min 3yrs
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Mandatory Skills- Exp in powerBI/Tableau,
SQL
Basic Python
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Must Have Skills:
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Software Engineer, Memorres