Offers attractive pay packages compared to other companies in Pune.
The Pune office isn’t the actual JPMC setup — it’s an acquired travel-based company (TAVISCA), not involved in core banking or financial projects.
Work-life balance is poor; employees often face long hours and continuous pressure.
Internal politics exist at almost every level, making collaboration difficult.
The old Tavisca crowd still runs most things and rarely supports new hires.
It’s a comfortable place mainly for legacy Tavisca folks who have strong management backing.
There’s hardly any proper process; everything becomes an urgent task.
Frequent layoffs create an unstable environment.
Culture rewards “yes-men” more than genuine performers.
Rotten culture.
Some managers completely change their opinions based on company directives — supportive when you’re needed, but overly critical when management decides otherwise.
The year-end review and rating policy is highly biased; new joiners are often given lower ratings to protect long-term favorites.
Every leader has their own inner circle or “gang,” which enjoys all perks and opportunities.
The environment suits those who enjoy corporate politics more than actual work.
Leadership should focus on fairness, inclusivity, and merit-based growth. Currently, higher management is perceived to support only their own people, which creates division and low morale.
Recognize and reward talent based on actual work, not relationships. However, nothing will truly improve until the legacy Tavisca group and their influence on decision-making are addressed — they continue to drive favoritism and politics at every level.
It started with two 45-minute technical rounds. The first one was a pair programming session, and the second one was a technical discussion on systems design. Afterwards, I was forwarded to a 30-minute behavioral round. After all that and a few follo
Easy and simple. The HR seemed understanding and coordinating. I wasn't selected, but I enjoyed the process. I applied for a Machine Learning Engineering role, mainly on Databricks and Azure.
Got a call from HR regarding the opening. Below were my interview rounds: 1. Telephonic, first technical round 2. Telephonic, second technical round 3. Telephonic, third technical round 4. Video conference call, fourth techno-managerial round with V
It started with two 45-minute technical rounds. The first one was a pair programming session, and the second one was a technical discussion on systems design. Afterwards, I was forwarded to a 30-minute behavioral round. After all that and a few follo
Easy and simple. The HR seemed understanding and coordinating. I wasn't selected, but I enjoyed the process. I applied for a Machine Learning Engineering role, mainly on Databricks and Azure.
Got a call from HR regarding the opening. Below were my interview rounds: 1. Telephonic, first technical round 2. Telephonic, second technical round 3. Telephonic, third technical round 4. Video conference call, fourth techno-managerial round with V