Senior Manager - Data Scientist - FinTech Industry

Relevant Work Experience Requirements -

- Candidate needs to have hands-on, - expert- level experience in building sophisticated predictive models. This needs to have been one of their primary job responsibilities so that they should have done it multiple times. They should also have done this with large data-sets (millions of rows) and in situations where they had to evaluate different scorecards, had to conduct variable reduction, etc

- We have a strong preference for candidates who have done the above in the financial services sector (banks, credit cards, lending firms). This preference becomes stronger as years of experience increases

- We are not interested in candidates who have done predictive modeling only through coursework (whether on campus or via online methods)

- We are also not interested in candidates who haven't developed models themselves but are users/reviewers of predictive models

- We are not interested in candidates whose primary exposure to Analytics is limited to BI/Dash-boarding/Visualization

- Potential Target Companies 

- Capital One India

- EXL (Consulting and Services) and Inductis

- Opera Solutions

- Essex Lake Group

- American Express

- Barclays India

- Data Sciences / Analytics team of:

- HSBC

- Citibank

- RBS

- Wells Fargo

- Fractal Analytics

- Axtria

- Merilytics

- Analytics Quotient

- Dunnhumby

- TheMathCompany

- BRIDGEi2i Analytics Solutions

Roles and Responsibilities -

1. Lead analytical thought process and delivery on projects:

- Lead brainstorming sessions, create an analytical plan, provide guidance to junior team members, identify value creation areas, evaluate predictive models & algorithms, pressure test approaches & outcomes, be responsible for quality control

2. Own client communication and project delivery:

- Front-end- the relationship with clients, craft the overall story, make presentations to clients, liaise with client team members, ensure smooth delivery of projects, be the  goto person for one/more projects

3. Drive the growth of people and of the firm:

- Supervise the work of others, provide career mentorship to junior team members, be involved in hiring activities, lead internal R&D projects, identify internal innovation areas

Additional Requirements :

The candidate will likely be required to travel to USA/Australia (usually 1-2 weeks every 1-2 months)

Tools & Skills Requirements -

- Expert Level at Database querying tools (such as SQL / SAS) and at MS-Excel

- Intermediate/Expert at developing predictive models (e.g. linear regression, logistic regression, decision trees, etc)